10 Statistical Modeling jobs in Hyderabad
Data Analysis
Posted today
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Position Overview
The UAT Analyst will be responsible for ensuring claim opportunities are maximized in the Out of Network Department through monitoring of inventory, routing of claims and ensuring quality measures are applied for best outcomes. The responsibilities are inclusive of monitoring claim volume and turnaround time, reviewing claim routing decisions made by associates, and identifying claim savings opportunities. All responsibilities encompassed include execution within both the Zelis Claim Management System and/or the Zelis Compass system. This role will also be part of the Out of Network ART Scrum Team and will be responsible for the end-to-end user acceptance testing of the new and enhanced features/services envisioned for planned releases.Professional Experience:
Education:
HR Data Analysis Manager

Posted 16 days ago
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+ Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics.
+ Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques.
+ Deliver operational talent reports with data-driven narratives.
+ Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting.
+ Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners).
+ Innovate to automate and streamline processes.
+ Responsible for data cleansing, validation, testing, and large-scale data analysis.
+ Handle sensitive human capital data with discretion and sound judgment.
+ Collaborate with project teams to ensure correct identification of data impacted by changes.
**Education:**
+ Bachelor's degree in engineering, Computer Science, Mathematics, or related technical field.
**Experience:**
+ 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets.
+ Self-motivated, curious, independent, and eager to learn.
**Technical Skills:**
+ Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools
+ Exposure to R, Python is an added advantage.
+ Experience in Workday reporting, Viva GLINT, Visier, HR data systems.
+ Preprocessing structured/unstructured data.
+ Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX.
**Other Requirements:**
+ Ability to work in virtual teams across time zones.
+ Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management).
+ People management experience (a plus).
+ Knowledge of ERP, HR systems, and Business Intelligence tools.
+ Ability to handle stress and prioritize effectively with management support.
Graduate Trainee - Data Analysis
Posted 6 days ago
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Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop data visualizations to communicate findings effectively to stakeholders.
- Support senior analysts in building statistical models and machine learning algorithms.
- Conduct research on data-related topics and emerging analytical techniques.
- Collaborate with cross-functional teams to understand data needs and deliver insights.
- Document methodologies, processes, and findings clearly and concisely.
- Participate in team meetings and contribute to project discussions.
- Learn and apply new data analysis tools and technologies.
- Assist in the development of reports and dashboards.
- Ensure data accuracy and integrity throughout the analysis process.
- Contribute to a culture of data-driven decision-making within the organization.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical methods.
- Proficiency in data analysis tools and programming languages such as Python (Pandas, NumPy, Scikit-learn) and R.
- Familiarity with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Effective written and verbal communication skills.
- Ability to work independently and collaboratively in a remote team setting.
- Eagerness to learn and adapt to new technologies.
- A proactive approach to tasks and a keen interest in data science.
Graduate Trainee - Data Analysis
Posted 10 days ago
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Key responsibilities will include assisting in the collection, cleaning, and processing of large datasets from various sources. You will support the team in performing exploratory data analysis, identifying patterns and trends, and generating reports and dashboards. This role requires proficiency in data analysis tools and programming languages, such as SQL, Python (with libraries like Pandas, NumPy), and R. Familiarity with data visualization tools (e.g., Tableau, Power BI) is also beneficial. The trainee will learn to apply statistical methods and machine learning techniques under guidance. Excellent problem-solving skills, attention to detail, and a proactive approach to learning are essential. Strong communication skills are needed to present findings effectively to the team. This is a fully remote role, demanding self-discipline and effective time management.
Qualifications:
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Proficiency in SQL and at least one programming language (Python or R).
- Familiarity with data manipulation, analysis, and visualization techniques.
- Excellent problem-solving and critical-thinking abilities.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a remote environment.
- Eagerness to learn and grow in the field of data science and analytics.
Graduate Trainee - Data Analysis
Posted 16 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform data analysis using statistical methods and programming languages like Python or R.
- Develop data visualizations and dashboards to communicate findings effectively.
- Support the development and implementation of machine learning models.
- Collaborate with senior team members to identify trends, patterns, and insights within the data.
- Contribute to the documentation of data analysis processes and findings.
- Participate in team meetings and contribute ideas for data-driven solutions.
- Learn and apply new tools and techniques in data science and analytics.
- Assist in A/B testing and other experimental designs to evaluate hypotheses.
- Prepare reports and presentations on analysis results for internal stakeholders.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical techniques.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, dplyr).
- Basic knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities, suitable for a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Proactive attitude and ability to work independently with minimal supervision.
- A portfolio of personal projects or academic work showcasing data analysis skills is a plus.
Agronomist - Remote Sensing & Data Analysis
Posted 6 days ago
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Job Description
Responsibilities:
- Acquire, process, and analyze remote sensing data (satellite, aerial imagery) for agricultural applications.
- Develop and implement GIS-based solutions for crop monitoring and management.
- Utilize remote sensing techniques to assess crop health, soil moisture, and nutrient status.
- Create predictive models for crop yields and disease outbreaks.
- Provide data-driven recommendations for precision agriculture practices.
- Collaborate with agronomists and farmers to integrate remote sensing data into field operations.
- Develop and maintain agricultural databases and GIS layers.
- Prepare technical reports and presentations on findings and recommendations.
- Stay updated on advancements in remote sensing, GIS, and agricultural technologies.
- Contribute to the development of innovative solutions for sustainable agriculture.
- Master's or Ph.D. in Agronomy, Crop Science, Soil Science, or a related agricultural field with a specialization in Remote Sensing and GIS.
- Minimum of 4 years of experience in applying remote sensing and GIS in agriculture.
- Proficiency in GIS software (ArcGIS, QGIS) and remote sensing software (ENVI, ERDAS Imagine).
- Experience with data analysis tools and programming languages (e.g., R, Python) for spatial data.
- Strong knowledge of crop physiology, soil science, and agricultural practices.
- Excellent analytical, statistical, and problem-solving skills.
- Strong communication and presentation skills.
Big Data Engineer, Data Analysis
Posted today
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What can you tell your friends
when they ask you what you do?“As a Data Analyst at data.ai, I help analyze, monitor, and deliver comprehensive and high-quality app market data to app professionals. I am empowered to work independently with the support of team members spread across APAC, AMER, and EMEA. I am the key contributor to the new and existing product data quality analysis and convert it into actionable insight. I help build, maintain, and enhance the monitoring system with systematic and statistical measurements to ensure the entire core Intelligence data quality. I work closely with Product Managers, Data Scientists, and the Engineering team to develop, sustain and improve our product and ship it to the customers with pride.”
To ensure we execute on our values we are looking for someone who has a passion for:
As a Data Analyst, you will be working on data profiling, data cleansing, data quality monitoring, and root cause analysis which includes:
You should recognize yourself in the following…
This position is located in Hyderabad, India.
We are hiring for our engineering team at our data.ai India subsidiary entity, which is in the process of getting established . As we are awaiting approval from the Indian government, they shall be interim employees at Innova Solutions who is our Global Employer of Record.
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Manager HR Data Analysis - (Workday Workforce Administration)

Posted 16 days ago
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**Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.**
**ABOUT THE ROLE**
**Role Description:**
**Amgen is seeking a Manager HR Data Analysis Human Resources - Workforce Administration and the role will report to the Associate Director HR Technology.**
**The successful incumbent will have previous managerial experience with extensive experience with HR administration to provide support to staff, managers and key HR stakeholders as a member of our service delivery team.**
**Roles & Responsibilities:**
+ Leads the HR Workforce Administration Team (WFA) by providing best practices, handling escalations and ensuring data accuracy and confidentiality.
+ Responds to escalated inquiries and issues related to Amgen's Workday system
+ Performs audits and controls on HR Master Data and transactions
+ Monitor and ensure performance of Amgen's Workday system
+ Generates HR Data reports within Workday
+ Performs transactional work in Workday using EIBs and mass operations management (MOM) tools
+ Advises HR and Employee Service Stakeholders on HR System solutions and best practices
+ Provides excellent customer service as measured by Quality Standards and SLA's
+ Assigns and Audits HR system security roles
+ Perform system testing, and support the configuration of the HR system to meet business goals
+ Maintains content in the team's knowledgebase and suggests improvements for ongoing development
+ Contributes to knowledge sharing within the team, providing on-floor support and training the call center representatives on HR system processes.
+ Leads other projects/activities, as needed, and participate in cross-functional process improvements
+ Identify opportunities for HR process improvement based on frequent contact with HR and Employee Service Stakeholders
**Basic Qualifications and Experience:**
+ 5 years minimum experience in human resources with hands on experience with Workday
+ 4 years' experience managing an operations team that handles HR mass transactions
+ Master's degree OR Bachelor's degree and 5 years of HR IS experience
**Functional Skills:**
**Must-Have Skills:**
+ Strong working knowledge of Workday including using tools such as EIBs, Mass Operation Management, data audits
+ Experience in creating and using Workday reports
+ 5+ years' experience in human resources and corporate service center supporting Workday
+ 4+ year's experience managing an operations team that handles HR mass transactions
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong quantitative, analytical (technical and business), problem solving skills, and attention to detail
+ Strong verbal, written communication and presentation skills
+ Ability to work effectively with global, virtual teams
+ Strong technical acumen, logic, judgement and decision-making
+ Strong initiative and desire to learn and grow
+ Ability to manage multiple priorities successfully
+ Exemplary adherence to ethics, data privacy and compliance policies
**EQUAL OPPORTUNITY STATEMENT**
**Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.**
**We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.**
Sr Associate HR Data Analysis (Visier Admin)

Posted 16 days ago
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Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
Amgen is seeking a Sr Associate HR Data Analysis (Visier Admin). The Sr Associate HR Data Analysis (Visier Admin) will report to the Associate Director HR Technology.
The successful incumbent will have previous Visier reporting tool Admin experience.
**Roles & Responsibilities:**
+ Hands on experience supporting Visier
+ Previous experience with Vee
+ Administrative tasks associated with Visier such as role assignments and creating roles
+ Visier Security configuration, data integration, and data exports
+ Ability to analyze, troubleshoot and resolve Visier data issues
+ Must have previous experience handling large datasets and sensitive HR data
**Basic Qualifications and Experience:**
+ 5 years minimum experience in human resources with hands on experience with Visier
+ Master's degree, OR
+ Bachelor's degree and 5 years of HR IS experience
**Functional Skills:**
**Must-Have Skills:**
+ Strong working knowledge of Visier
+ 5+ years' experience in human resources and corporate service center supporting Workday
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong quantitative, analytical (technical and business), problem solving skills, and attention to detail
+ Strong verbal, written communication and presentation skills
+ Ability to work effectively with global, virtual teams
+ Strong technical acumen, logic, judgement and decision-making
+ Strong initiative and desire to learn and grow
+ Ability to manage multiple priorities successfully
+ Exemplary adherence to ethics, data privacy and compliance policies
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Quality Engineer – Statistical Analysis, Python & R | SPC & Exploratory Data analysis | Feature E...
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Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a Micron Front End Central Quality Senior Engineer, you will be a member of the worldwide quality team responsible for driving quality and reliability improvement initiatives into Front End Manufacturing network. Work closely with Global Quality and internal customers to perform data analysis in key metrics to monitor quality and reliability health including DPM and Uncorrectable Error (UE) metrics. Additionally, you will also work with business partners to develop the strategy for continually improving product quality and reliability for Front End and supporting Time to Mature DPM program and Time to Mature Uncorrectable Error (UE) program execution.
Responsibilities and Tasks include but not limited to
Skills and experience you will need: