166 Forecasting Analyst jobs in India

About us

Optiply is at the forefront of three rapidly expanding sectors: Software as a Service, Artificial Intelligence, and E-commerce. With our intelligent purchasing software, we empower over 300 web shops and wholesalers to make smarter buying decisions, using predictive analytics to optimize inventory management.

Job Description

As our Forecasting Analyst (R Specialist) at Optiply, you will be the go-to expert on our data team, responsible for the statistical and machine learning models that power our platform. You will be at the heart of our mission to help e-commerce businesses thrive by owning the development, maintenance, and improvement of our forecasting algorithms. You’ll work closely with data scientists, backend developers, and product teams to ensure our models are robust, accurate, and seamlessly integrated.

This is what you'll be doing

• Own the end-to-end lifecycle of our forecasting models—from design and development to validation and maintenance—using your deep expertise in R.
• Proactively optimize and refactor existing R code for enhanced performance, scalability, and accuracy.
• Collaborate with backend developers to integrate your R models into our production systems, helping to package them into APIs or microservices.
• Work with our Customer Success and Product teams to translate business requirements and customer needs into robust technical forecasting solutions.
• Support data processing and ETL pipelines to ensure high-quality data inputs for your models.
• Uphold high standards of code quality, rigorous testing, and clear documentation for all your work.
• Stay current with the latest research and techniques in time series forecasting and statistical modeling.

This is who we’re looking for

• You have 3–6 years of professional experience in a role focused on statistical modeling, quantitative analysis, or time series forecasting.
• Expert-level proficiency in R for statistical analysis, data manipulation (e.g., dplyr, data.table), and forecasting (e.g., forecast, fable, tidymodels).
• Demonstrated, hands-on experience building and deploying forecasting models and a strong theoretical understanding of time series analysis or inventory optimization principles.
• Good working knowledge of Python, primarily for scripting, data handling, or collaborating with engineering teams.
• Comfortable working with data from various sources (SQL, APIs, flat files).
• Familiarity with DevOps tools and best practices (Docker, Git, CI/CD pipelines) is a strong plus.
• Experience working in a production environment and collaborating across teams.
• You are self-driven, proactive, and comfortable working in a fast-paced, international environment.

Nice to Have

• Exposure to cloud platforms (AWS, GCP, or Azure).
• Prior experience in a SaaS, e-commerce, or supply chain tech company.

This it what we offer

• Competitive Compensation Package: Reflects your skills and contributions.
• Holistic Work-Life Harmony: We value your personal time and promote a healthy work-life balance.
• Comprehensive Health Coverage: Robust insurance plans for your peace of mind.
• Investment in Professional Growth: We invest in your development with paid training programs.
• Adaptable Work Hours: We offer flexibility in your work schedule.
• Hybrid Work Model: Enjoy a blend of remote and in-office work.
• Strategic Career Development: We provide personalized growth plans and advancement opportunities.
• Tailored Workspace Setup: Get a high-quality PC, monitor, keyboard, and other essentials.
• Social Fridays: Wind down the week with casual drinks and foster team camaraderie.

This Job Description made your day?

Then send us your CV in English and get prepared to meet our team!

Division: Operations 

Department: Operational Support 

Reference number: 12529 

Engagement type: Permanent

AEMO at the Heart of Energy

AEMO is Australia’s independent energy system and market operator and system planner. AEMO’s purpose is to ensure safe, reliable and affordable energy today, and enable the energy transition for the benefit of all Australians.  Australian governments are now committed to a net zero economy for Australia by 2050 and our vision is to enable this. We have the once-in-a-lifetime opportunity to co-design the future of our energy systems, and our core values revolve around character, commitment, and connection. Join us as we contribute to this significant transition in the energy sector.  

About the role   

AEMO’s Operational Support division plays a critical role in real-time electricity system operations across Australia. The division is responsible for supporting AEMO’s control rooms through the delivery of high-quality data, systems, training, assessment and operational planning advice. Within Operational Support, the Operational Forecasting team is responsible for the short-term forecasts that feed into key operational and market systems in the National Electricity Market (NEM) and Wholesale Electricity Market (WEM). These forecasts are essential for supporting network outage planning, reliability assessments, and real-time operational decision-making across the short-term horizon.

AEMO’s Operational Forecasting team is recognised globally for its leadership in short-term forecasting practices. The team is looking to expand its capability to keep up with the complexity of forecasting an increasingly weather-dependent power system.

What you will be doing

As an Analyst in the Operational Forecasting team, you will support the development, implementation and continuous improvement of forecast models for electricity demand, distributed photovoltaics (PV), and variable renewable energy generation central to AEMO’s market systems in both the NEM and WEM.

You will:

• Manage operational forecasting models for electricity demand, rooftop PV, grid-scale solar farms, and wind farms, including the development of forecast models by updating inputs, parameters and variables to reflect system changes and improve performance.
• Work closely with AEMO’s weather providers and control rooms to translate weather risks into system impacts and ensure operators have the information they need.
• Coordinate across teams and markets to align tools, data and forecasting processes between the NEM and WEM.
• Contribute energy and weather information and insights into operational advisories, power system incident reviews and market reports to support secure and reliable power system operations.
• Support upgrades of forecasting applications, reform deliveries and digital enhancements to improve the performance and reliability of forecasting systems and processes.

What you will bring to the role

• Tertiary qualifications in science, engineering, mathematics, meteorology or a related statistical discipline.
• Experience in the energy sector or similar industry, preferably in an operations, forecasting or analytical role.

• Clear and confident communication skills, both written and verbal, including experience preparing high-quality reports and presentations to communicate technical information to a broad range of internal and external stakeholders and the ability to translate technical insights into operational and stakeholder-relevant advice.
• Working knowledge of data analysis and statistical modelling techniques, including but not limited to PowerBI, Databricks, SQL and Excel.
• Ability to work collaboratively in a team environment and working across multiple projects.

In return some of our benefits to you 

• Flexible working: work from home, part time, job share, hybrid options, and additional leave options
• Professional development via projects, industry networks, job rotation, study assistance and more.
• Give back with up to 4 days of volunteering leave per year.
• Reward your hard work with annual performance bonuses (subject to eligibility).
• Embrace a healthier you with our wellness program, discounted health insurance, gym perks and our comprehensive Employee Assistance Program (EAP).

About Our Process

At AEMO we are committed to creating a diverse and inclusive workforce. We welcome people of all backgrounds, including people with disabilities and neurodivergence and those who identify as Aboriginal and/or Torres Strait Islander. If you have any accessibility requirements to support you during the application or interview process, simply let us know by emailing us at ***

Description

We are seeking a highly skilled Statistical Modeling professional to join our team in India. The ideal candidate will have 6-16 years of experience in developing statistical models and analyzing complex datasets, contributing to data-driven decision-making in the organization.

Responsibilities

• Develop and implement statistical models to analyze complex datasets
• Interpret and communicate model results to stakeholders
• Collaborate with cross-functional teams to integrate statistical insights into business strategies
• Conduct data validation and ensure accuracy of statistical models
• Stay updated with the latest statistical methodologies and tools
• Provide training and mentorship to junior analysts

Skills and Qualifications

• Master's or PhD in Statistics, Mathematics, Data Science, or a related field
• Proficiency in statistical software such as R, Python, or SAS
• Strong understanding of machine learning algorithms and their applications
• Experience with data manipulation and analysis using SQL or similar tools
• Excellent problem-solving skills and attention to detail
• Ability to communicate complex statistical concepts to non-technical audiences
• Familiarity with data visualization tools like Tableau or Power BI

Education
Doctor of Optometry, Doctor of Business Administration (DBA), Doctor of Medicine (M.D/M.S), Bachelor of Business Administration (B.B.A), Master in Computer Application (M.C.A), Master OF Business Administration (M.B.A), Post Graduate Diploma in Computer Applications (PGDCA), Doctor of Pharmacy (PharmD), Doctor of Veterinary Medicine (DVM), Bachelor of Dental Surgery (B.D.S), Post Graduate Programme in Management for Executives (PGPX), Doctor of Dental Surgery/Medicine (DDS/DMD), Doctor of Nursing Practice (DNP), Bachelor Of Technology (B.Tech/B.E), Bachelor of Ayurvedic Medicine and Surgery (BAMS), Doctor of Public Health (DrPH), Master of Public Administration (MPA), Master of Library & Information Science (MLIS), Doctor of Psychology (Psy. D./D. Psych.), Bachelor Of Computer Application (B.C.A), Masters in Technology (M.Tech/M.E), PGDM, Doctor of Physical Therapy, PGP, Bachelors of Law (B.L/L.L.B), MBBS, Bachelor of Homeopathic Medicine and Surgery (BHMS), Master of Law (M.L/L.L.M)
Skills Required
Statistical Analysis, Data Visualization, Predictive Modeling, Machine Learning, R Programming, Python Scripting, Big Data, Data Mining

You are a strategic thinker passionate about driving solutions using Statistical or Econometric models. You have found the right team.

As the Quantitative and Statistical Modeling Professional in our Transformation Quantitative Research Center of Excellenceteam, you will spend each day defining, refining and delivering set goals for our firm.

You will partner with Line of Business and Corporate teams to conduct in-depth statistical and economic analysis on data assets to develop model methodologies for various business purposes including capital stress testing, budgeting and ad-hoc analytics. You will analyze existing technical documentation, gain access to estimation input data and assumptions, and experiment to create statistical/mathematical models. You will also be responsible for creating documentation supporting any newly created approaches and for preparing for independent model reviews. You will learn about forecasting methodologies across various banking and markets products and to understand the end-to-end process from estimation design to implementation.

**Responsibilities**:

- Design and develop new Statistical/Econometric models or re-develop the existing ones to meet business needs
- Document models as required and manage the end-to-end independent model review process
- Partner to automate models that have been designed onto the firm's forecasting platform

**Required qualifications, capabilities and skills**:

- Master Degree in Statistics or Economics; advanced degree is a plus
- 5- 7 years of work experience in statistical modeling, macroeconomic variable related work, risk management, or a related field
- Experience in performing large dataset quality checks and analytics using Python, R programming skills
- Analytical and problem-solving skills and attention to details

**Preferred qualifications, capabilities and skills**:

- General knowledge of banking products and services a plus
- Ability to work in a fast paced, results driven environment
- Good organizational, written and communication skills
- Experience in partnering with business and technology to drive strategic projects

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

Job Description
The role is within the Loss / Loan Loss Reserve Forecasting and Stress Testing team. This group is specifically tasked with calculating and managing the net credit loss and loan loss reserve forecast on a $90BN + portfolio and working with the Finance teams to build forecasts for credit losses and loan loss reserves under varying macro-economic and business conditions. The individual will work on efforts around Comprehensive Capital Analysis & Review (CCAR/DFAST) for retail portfolios with primary focus on NA cards.
The individual should demonstrate strong work ethic, teamwork, quantitative and problem-solving skills. The individual is expected to leverage technical and business acumen to deliver high quality results. Responsibilities include but are not limited to understanding the key drivers of losses and loan loss reserves, their relative importance and the current trends; apply this knowledge effectively to forecast losses / loan loss reserves meaningfully and accurately; analyze underlying model outputs relative to other business, ensure that the models provide rational and logical output, Reconcile detailed financial data from disparate data sources, be able to present the findings to their manager and various key stake-holders and senior management across the organization; hold meaningful discussions and present to various review and challenge and / or audit teams and assist with regulatory reviews; ensure best in class governance and documentation practices for these functions; drive process efficiencies through automation for the underlying data, forecasting and reporting processes
Key Responsibilities:
- Work independently and with other team members to effectively execute:
- Quarterly loss / loan loss reserve forecasting and stress testing processes (CCAR, QMMF, Recovery Plan) deliverables for one or more retail portfolios with primary focus on NA cards
- Associated governance activities (Manager Control Assessment, End User Computing, Activity Risk Control Monitoring and its Assessment Units)
- Cross-portfolio and cross-functional collaboration on loss / loan loss reserve forecasting and stress testing analytics
- Assist in review and challenge of existing models, and model outputs to identify areas of improvement relative to portfolio & macro-economic trends.
- Understand the calculation of reserves, components of P&L, and the impact of CECL on CCAR results besides understanding the synergies between two processes.
- Collaborate with other teams like Risk Modeling, Portfolio & New Account Forecasting, Data Reporting and to complete requests on financial planning & CCAR/DFAST results and increased integration of credit risk & PPNR results.
- Perform complex risk policy analytics in terms of sizing the impact of credit/business/regulatory policies on loss performance and incorporate it into the stress testing process.
- Perform econometric analysis to estimate and explain the impact of changing macroeconomic trends on Portfolio Performance Losses, delinquency etc.
- Establish and continually evolve standardized business and submission documentation
- Collaborate with Risk and Finance organization to understand sources of data and continue to improve the process of defining, extracting and utilizing data.
- Identify areas of improvement in BAU and drive process efficiency through process simplification and automation (VBA, SAS, etc.)
- Execute information controls (version control, central results summary) to meet business objectives with utmost clarity.
Qualifications:
- 3+ years of work experience in financial services, business analytics or management consulting.
- Post graduate degree with specialization in a quantitative discipline: Statistics, Mathematics, Economics, Econometrics, Management, Operations Research or Engineering
- Understanding of risk management. Knowledge of credit card industry and key regulatory activities (CCAR) is a plus. Experience in CCAR / DFAST/Stress Testing is preferred.
- Strong understanding and hands-on experience with econometric and empirical forecasting models. Experience in data science / machine learning is preferred with ability to handle large datasets.
- Experience in using analytical packages like SAS, Datacube/Essbase, MS Office (Excel, PowerPoint)
- Vision and ability to provide innovative solutions to core business practices.
- Ability to develop partnerships across multiple business and functional areas.
- Strong written and oral communication skills.
Leadership Competencies:
- Ability and experience to drive changes in order to achieve business targets
- Displays flexibility to work well with varying personal styles
- Takes personal responsibility to lead by example. Understands and appreciates diverse backgrounds.
- Demonstrates strong ethics
- Develops strong cross-functional relationships within and outside Risk Management
- Contributes to a positive work environment; shares knowledge and supports diversity
About Citi:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.
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**Job Family Group:**
Risk Management
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**Job Family:**
Risk Analytics, Modeling, and Validation
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Description

The role is within the Loss / Loan Loss Reserve Forecasting and Stress Testing team. This group is specifically tasked with calculating and managing the net credit loss and loan loss reserve forecast on a $90BN + portfolio and working with the Finance teams to build forecasts for credit losses and loan loss reserves under varying macro-economic and business conditions. The individual will work on efforts around Comprehensive Capital Analysis & Review (CCAR/DFAST) for retail portfolios with primary focus on NA cards.
The individual should demonstrate strong work ethic, teamwork, quantitative and problem-solving skills. The individual is expected to leverage technical and business acumen to deliver high quality results. Responsibilities include but are not limited to understanding the key drivers of losses and loan loss reserves, their relative importance and the current trends; apply this knowledge effectively to forecast losses / loan loss reserves meaningfully and accurately; analyze underlying model outputs relative to other business, ensure that the models provide rational and logical output, Reconcile detailed financial data from disparate data sources, be able to present the findings to their manager and various key stake-holders and senior management across the organization; hold meaningful discussions and present to various review and challenge and / or audit teams and assist with regulatory reviews; ensure best in class governance and documentation practices for these functions; drive process efficiencies through automation for the underlying data, forecasting and reporting processes

Key Responsibilities:
• Work independently and with other team members to effectively execute:
- Quarterly loss / loan loss reserve forecasting and stress testing processes (CCAR, QMMF, Recovery Plan) deliverables for one or more retail portfolios with primary focus on NA cards
- Associated governance activities (Manager Control Assessment, End User Computing, Activity Risk Control Monitoring and its Assessment Units)
- Cross-portfolio and cross-functional collaboration on loss / loan loss reserve forecasting and stress testing analytics
• Assist in review and challenge of existing models, and model outputs to identify areas of improvement relative to portfolio & macro-economic trends.
• Understand the calculation of reserves, components of P&L, and the impact of CECL on CCAR results besides understanding the synergies between two processes.
• Collaborate with other teams like Risk Modeling, Portfolio & New Account Forecasting, Data Reporting and to complete requests on financial planning & CCAR/DFAST results and increased integration of credit risk & PPNR results.
• Perform complex risk policy analytics in terms of sizing the impact of credit/business/regulatory policies on loss performance and incorporate it into the stress testing process.
• Perform econometric analysis to estimate and explain the impact of changing macroeconomic trends on Portfolio Performance Losses, delinquency etc.
• Establish and continually evolve standardized business and submission documentation
• Collaborate with Risk and Finance organization to understand sources of data and continue to improve the process of defining, extracting and utilizing data.
• Identify areas of improvement in BAU and drive process efficiency through process simplification and automation (VBA, SAS, etc.)
• Execute information controls (version control, central results summary) to meet business objectives with utmost clarity.

Qualifications:
• 3+ years of work experience in financial services, business analytics or management consulting.
• Post graduate degree with specialization in a quantitative discipline: Statistics, Mathematics, Economics, Econometrics, Management, Operations Research or Engineering
• Understanding of risk management. Knowledge of credit card industry and key regulatory activities (CCAR) is a plus. Experience in CCAR / DFAST/Stress Testing is preferred.
• Strong understanding and hands-on experience with econometric and empirical forecasting models. Experience in data science / machine learning is preferred with ability to handle large datasets.
• Experience in using analytical packages like SAS, Datacube/Essbase, MS Office (Excel, PowerPoint)
• Vision and ability to provide innovative solutions to core business practices.
• Ability to develop partnerships across multiple business and functional areas.
• Strong written and oral communication skills.

Leadership Competencies:
• Ability and experience to drive changes in order to achieve business targets
• Displays flexibility to work well with varying personal styles
• Takes personal responsibility to lead by example. Understands and appreciates diverse backgrounds.
• Demonstrates strong ethics
• Develops strong cross-functional relationships within and outside Risk Management
• Contributes to a positive work environment; shares knowledge and supports diversity

About Citi:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.

---

Job Family Group:

Risk Management

---

Job Family:

Risk Analytics, Modeling, and Validation

---

Time Type:

Full time

---

Most Relevant Skills

Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.

---

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

---

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
The Workforce Planner will be responsible to assist in the building of a forecasting and workforce model that will build a competency around forecasting demand and translating that demand into necessary workforce supply for long / medium and short term. This will include managing a capacity planning model that performs sensitivity analysis on historical data to compare staffing levels and build supply scenarios to meet future demand in a predictive manner. They will participate in developing a long-range strategy for the function to address future needs with data models, data consumption tools, predictive modeling and emerging technologies. In addition, they will have accountability for supporting the design, development and interpretation of workforce reports and dashboards including identifying key trends, opportunities and problem areas.
Positions in this function are responsible for all planning, scheduling, real-time monitoring and management of staffing levels and adjusting as necessary. Responsible for analyzing, implementing and monitoring workforce planning initiatives to optimize and scale the evolving workforce with short and long-range plans. Collaborates with business leaders, Finance and other stakeholders to review existing and future workforce needs and ensure alignment with business objectives and financial goals. Collects, interprets and evaluates workforce metrics to provide data driven insights for internal and external talent pool assessments, headcount reviews, forecasting and business scenario planning. Delivers value through actionable insight addressing operation workforce risks and opportunities.
**Primary Responsibilities:**
+ Analyzes and investigates
+ Provides explanations and interpretations within area of expertise
+ Serve as a subject matter expert on the identification and interpretation of trends and insights with respect to the overall operational effectiveness of the business with respect to workforce planning
+ Develop actionable, proactive metrics that drive forecasting capabilities and strategic insights. Perform statistical analyses and forecasting techniques and glean critical insights and trends. Design reports, scorecards, dashboards and ad hoc analysis that deliver workforce insights and KPIs. Present relevant data trends and analysis findings in clear, succinct reports to key stakeholders and demonstrate the implications of those trends on the business
+ Effectively manage internal and external relationships with HR Business partners, as well as Finance and Operations management and act as a credible and consultative partner who understands both business objectives and HR strategies. Highlight key organization trends and collaborate with leadership and business partners to identify causes, costs and potential interventions/solutions
+ Proactively manage internal and external vendor/partner relationships to ensure technology and process outcomes meet stated expectations
+ Provide high quality analyses to support evidence-based decision making. Proactively provide data-based insights and analyses that support leaders in making decisions that positively impact their business
+ Implement processes and procedures to support, streamline and in some cases, automate analytic and measurement strategiesBe part of the annual budgeting exercise with the finance and business
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ 6+ years of experience in workforce analytics, planning, forecasting and/or workforce management with a large global call center
+ Experience with forecasting and multi-variant statistical techniques and modeling including linear regression, multi-variant regression, etc.
+ Experience with labor modeling (e.g. productivity modeling, task timing and task variance impacts)
+ Solid understanding of WFM fundamentals. Proven experience in the design, development and implementation of strategic workforce planning with a very strong focus and ability to execute in a diverse/matrixed organizational environment
+ Proven solid Excel skills with preferred experience in or knowledge of third party capacity planning tools
+ Proven solid quantitative, qualitative, analytical, presentation and communication skills that foster the communication of succinct, actionable insights, trends and data. Ability to filter large amounts of complex data and research findings to identify interdependencies and meaningful patterns and trends
+ Proven effective oral, written, presentation and interpersonal communications skills including the ability to present complex data in a logical, concise manner. Proven ability to connect tactical deliverables with enterprise objectives and strategies
+ Proven highly developed interpersonal skills with the ability to establish and maintain positive working relationships with stakeholders and clients at all levels including people of different cultures
+ Proven highly developed project management skills and proven ability to deliver organizational projects within designated timelines
+ Proven well-developed analytical and written communication skills
+ Demonstrated ability to manage priorities and workflow in a fast-paced environment. Ability to work autonomously and on teams and to lead large-scale projects in complex, global, matrix organizations
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_#SSWFM_

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

The Workforce Planner will be responsible to assist in the building of a forecasting and workforce model that will build a competency around forecasting demand and translating that demand into necessary workforce supply for long / medium and short term. This will include managing a capacity planning model that performs sensitivity analysis on historical data to compare staffing levels and build supply scenarios to meet future demand in a predictive manner. They will participate in developing a long-range strategy for the function to address future needs with data models, data consumption tools, predictive modeling and emerging technologies. In addition, they will have accountability for supporting the design, development and interpretation of workforce reports and dashboards including identifying key trends, opportunities and problem areas.

Positions in this function are responsible for all planning, scheduling, real-time monitoring and management of staffing levels and adjusting as necessary. Responsible for analyzing, implementing and monitoring workforce planning initiatives to optimize and scale the evolving workforce with short and long-range plans. Collaborates with business leaders, Finance and other stakeholders to review existing and future workforce needs and ensure alignment with business objectives and financial goals. Collects, interprets and evaluates workforce metrics to provide data driven insights for internal and external talent pool assessments, headcount reviews, forecasting and business scenario planning. Delivers value through actionable insight addressing operation workforce risks and opportunities.

Primary Responsibilities:

Analyzes and investigates

Provides explanations and interpretations within area of expertise

Serve as a subject matter expert on the identification and interpretation of trends and insights with respect to the overall operational effectiveness of the business with respect to workforce planning

Develop actionable, proactive metrics that drive forecasting capabilities and strategic insights. Perform statistical analyses and forecasting techniques and glean critical insights and trends. Design reports, scorecards, dashboards and ad hoc analysis that deliver workforce insights and KPIs. Present relevant data trends and analysis findings in clear, succinct reports to key stakeholders and demonstrate the implications of those trends on the business

Effectively manage internal and external relationships with HR Business partners, as well as Finance and Operations management and act as a credible and consultative partner who understands both business objectives and HR strategies. Highlight key organization trends and collaborate with leadership and business partners to identify causes, costs and potential interventions/solutions

Proactively manage internal and external vendor/partner relationships to ensure technology and process outcomes meet stated expectations

Provide high quality analyses to support evidence-based decision making. Proactively provide data-based insights and analyses that support leaders in making decisions that positively impact their business

Implement processes and procedures to support, streamline and in some cases, automate analytic and measurement strategies
Be part of the annual budgeting exercise with the finance and business

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

6+ years of experience in workforce analytics, planning, forecasting and/or workforce management with a large global call center

Experience with forecasting and multi-variant statistical techniques and modeling including linear regression, multi-variant regression, etc.

Experience with labor modeling (e.g. productivity modeling, task timing and task variance impacts)

Solid understanding of WFM fundamentals. Proven experience in the design, development and implementation of strategic workforce planning with a very strong focus and ability to execute in a diverse/matrixed organizational environment

Proven solid Excel skills with preferred experience in or knowledge of third party capacity planning tools

Proven solid quantitative, qualitative, analytical, presentation and communication skills that foster the communication of succinct, actionable insights, trends and data. Ability to filter large amounts of complex data and research findings to identify interdependencies and meaningful patterns and trends

Proven effective oral, written, presentation and interpersonal communications skills including the ability to present complex data in a logical, concise manner. Proven ability to connect tactical deliverables with enterprise objectives and strategies

Proven highly developed interpersonal skills with the ability to establish and maintain positive working relationships with stakeholders and clients at all levels including people of different cultures

Proven highly developed project management skills and proven ability to deliver organizational projects within designated timelines

Proven well-developed analytical and written communication skills

Demonstrated ability to manage priorities and workflow in a fast-paced environment. Ability to work autonomously and on teams and to lead large-scale projects in complex, global, matrix organizations

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

#SSWFM

We are looking for a skilled HR manager to oversee all aspects of Human Resources practices and processes. You will support business needs and ensure the proper implementation of company strategy and objectives. The goal is to promote corporate values and enable business success through human resources management, including job design, recruitment, performance management, training & development, employment cycle changes, talent management, and facilities management services.

**Responsibilities**:

- Enhances the organization's human resources by planning, implementing, and evaluating employee relations and human resources policies, programs, and practices.
- Maintains the work structure by updating job requirements and job descriptions for all positions.
- Prepares employees for assignments by establishing and conducting orientation and training programs.
- Manages a pay plan by conducting periodic pay surveys; scheduling and conducting job evaluations; preparing pay budgets; monitoring and scheduling individual pay actions; and recommending, planning, and implementing pay structure revisions.
- Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; and counselling employees and supervisors.
- Implements employee benefits programs and informs employees of benefits by studying and assessing benefit needs and trends; recommending benefit programs to management; directing the processing of benefit claims; obtaining and evaluating benefit contract bids; awarding benefit contracts; and designing and conducting educational programs on benefit programs.
- Ensures legal compliance by monitoring and implementing applicable human resource federal and state requirements, conducting investigations, maintaining records, and representing the organization at hearings.