28 Statistical Analysis jobs in Bengaluru
Professional, Statistical Analysis
Posted today
Job Viewed
Job Description
Calling all innovators – find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Professional, Statistical Analysis
Requirements:
- Necessary- Cash Advance/ banking/ Lending business understanding.
- Necessary- Knowledge of market base sizing and portfolio analytics.
- Data Analytics and univariate analytics using Excel, Python.
- A/b testing of prices & strategies, elasticity of demand.
- Good to have- understanding of marketing campaign framework and executions.
- Eagerness to learn new software (like Palantir, Snowflake)
- Excellent communication & Interpersonal skills.
Role & Responsibilities:
- Portfolio Monitoring & reporting.
- Analysis of total addressable market (TAM) and scope analysis.
- Enhancing business rule engine and optimization of credit risk pipeline.
- Ad hoc Campaign analysis and execution on need basis.
- Conduct A/B price testing.
- Maintain elaborate analysis and process documentation, update trackers.
- Work closely with business/product team understand their need and provide the solutions.
- Oversee technical pipeline upgrades by communicating requirements to DevOps team and validating outcomes.
- Publish weekly MIS for Stakeholders summarizing current status of capabilities.
Technical Skills:
- MS Excel (Must Have)
- MS Powerpoint
- SQL
- Python
- PySpark (Good to have)
- PowerBI (Good to have)
Thank you for considering employment with Fiserv. Please:
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
Our commitment to Diversity and Inclusion:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
Professional, Statistical Analysis
Posted 2 days ago
Job Viewed
Job Description
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Professional, Statistical Analysis
Requirements:
+ Necessary- Cash Advance/ banking/ Lending business understanding.
+ Necessary- Knowledge of market base sizing and portfolio analytics.
+ Data Analytics and univariate analytics using Excel, Python.
+ A/b testing of prices & strategies, elasticity of demand.
+ Good to have- understanding of marketing campaign framework and executions.
+ Eagerness to learn new software (like Palantir, Snowflake)
+ Excellent communication & Interpersonal skills.
Role & Responsibilities:
+ Portfolio Monitoring & reporting.
+ Analysis of total addressable market (TAM) and scope analysis.
+ Enhancing business rule engine and optimization of credit risk pipeline.
+ Ad hoc Campaign analysis and execution on need basis.
+ Conduct A/B price testing.
+ Maintain elaborate analysis and process documentation, update trackers.
+ Work closely with business/product team understand their need and provide the solutions.
+ Oversee technical pipeline upgrades by communicating requirements to DevOps team and validating outcomes.
+ Publish weekly MIS for Stakeholders summarizing current status of capabilities.
Technical Skills:
+ MS Excel (Must Have)
+ MS Powerpoint
+ SQL
+ Python
+ PySpark (Good to have)
+ PowerBI (Good to have)
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
Professional, Statistical Analysis
Posted 3 days ago
Job Viewed
Job Description
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Professional, Statistical Analysis
**What Does a great Analytics Professional do at Fiserv?**
Fiserv is looking for a talented analytical professional who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues.
**What will you do:**
+ Deep dive data analysis, detect patterns in data and present analysis to business
+ Work with business for requirements gathering and building analytical solution
+ Understand business drivers and how data is used to inform and drive decisions and behaviors.
+ Conducting complex analysis using statistical and other quantitative techniques.
+ Work with large volumes of data and apply ML techniques towards solving business problems
+ Experience with data manipulation, feature engineering, and data preprocessing techniques.
+ Applying statistical methods & techniques for problem solving
+ Ensure timely delivery of the project
+ Results are oriented towards excellent communication and interpersonal skills.
+ Communicate validation findings and recommendations to stakeholders in a clear and concise manner, both verbally and through written reports or presentations.
+ Effective communication stakeholders.
**What you will need to have:**
+ Bachelor's degree in Statistics/mathematics or equivalent qualification
+ 3-5 years of experience in solving business problems by applying advanced statistics.
+ Hands-on experience of statistical tools like Python and R.
+ Expertise in Python with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
+ Hands-on experience with machine learning frameworks along with solid understanding of statistical modeling, hypothesis testing, and experimental design.
**What would be nice to have:**
+ Good to have analysis using Cloud databases like Snowflake and Azure.
+ Knowledge of GenAI and its usage.
+ Good to have banking and Payment domain.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
Statistical Analysis Programmer
Posted today
Job Viewed
Job Description
Role: Statistical Programmer
Skill: SDTM/ADAM/TLF
Mode: Remote
Experience: 7+years
Job Location: PAN India
Roles & Responsibilities:
- Perform, plan co-ordinate and implement the following for complex studies: (i) the programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listing and (ii) the programming of analysis datasets (derived datasets) and transfer files for internal and external clients and (iii) the programming quality control checks for the source data and report the data issues periodically.
- Ability to interpret project level requirements and develop programming specifications, as appropriate, for complex studies.
- Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to SP teams and Statistical Programming department, for complex studies.
- Fulfill project responsibilities at the level of technical team lead for single complex studies or group of studies.
- Directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines.
- Estimate programming scope of work, manage resource assignments, communicate project status and negotiate/re-negotiate project timelines for deliverables.
- Use and promote the use of established standards, SOP and best practices.
- Provide training and mentoring to SP team members and Statistical Programming department staff.
Qualifications:
- Bachelor's Degree Maths, Computer science, Statistics or related field and 4 years relevant experience Req Or
- Master's Degree Maths, Computer science, Statistics or related field and 3 years relevant experience Pref
- Typically requires 7+ years of prior relevant experience
- Equivalent combination of education, training and experience in lieu of degree
- Requires advanced knowledge of job area, and broad knowledge of a other related job areas, typically obtained through advanced education combined with experience.
- Advanced knowledge of statistics, programming and/or clinical drug development process;
- Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro Language, where applicable
- Excellent organizational, interpersonal, leadership and communication skills
- Excellent accuracy and attention to detail
- Aptitude for mathematical calculations and problem solving
- Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM)
- Ability to establish and maintain effective working relationships with coworkers, managers and clients
Statistical Analysis Programmer
Posted today
Job Viewed
Job Description
TCS is hiring Statistical Programmer
Skill - Statistical Programmer
Job Location – Mumbai, Pune, Bangalore
Experience Range – 3 to 6 Years
Educational Qualification(s) Required – Graduate/Postgraduate (Any life-science/ Engineering )
Required Skillsets:
- Proficiency in SAS / R programming languages to Program and validate ADaM, TFL and statistical analyses
- Proficiency in using statistical software and programming tools
- Familiarity with clinical study protocols, statistical analysis plans (SAPs), tables, listings, and figures (TLFs), and statistical programming documentation.
- Knowledge of CDISC standards and therapeutic area (Oncology, Immunology, Neuroscience Etc.)
- Experience in generating TLFs, programming macros, and data manipulation using SAS.
- Good to have experience in other statistical programming languages (R).
- Ability to interact professionally with statisticians, study teams, and external partners
Key Responsibilities:
- Collaborate with statisticians to develop, review, and approve Statistical Programming Plans (SPP). Implement Statistical Analysis Plans (SAP) and Statistical programming plan (SPP) to create ADaM data specifications.
- requirements.
- Develop and maintain programming documentation, such as annotated program code, programming specifications, and validation plans.
- Perform quality control checks on statistical programming deliverables to ensure accuracy, consistency, and adherence to programming standards.
- Assist in the development and implementation of standard programming macros, utilities, and tools to improve efficiency and consistency in programming tasks
Interested Candidate can mail on -
Regards,
Laharika-TCS HR
Data Analysis
Posted today
Job Viewed
Job Description
We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications.
Technical Requirements:
Strong proficiency in Python for data processing and automation.
Handson experience with generative AI models and their integration into data workflows.
Handson experience with prompt engineering and LLM models (Opensource and Closesource)
Handson experience with Application development framework like LangChain, LangGraph etc.
Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango.
Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus.
Familiarity with containerization and orchestration tools (Docker, Kubernetes).
As a Data Analysis & Simulation Professional, the person will be responsible for:
Data Pipeline Development:
Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.
Generative AI Integration:
Collaborate with data scientists to integrate generative AI models into the log analysis workflow.
Develop APIs and services to deploy AI models for real-time log analysis and insights generation.
Data Monitoring and Maintenance:
Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.
Troubleshoot and resolve issues related to data ingestion, processing, and storage.
Collaboration and Documentation:
Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs.
Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.
Evaluation and Testing:
Conduct thorough testing and validation of generative models.
Research and Innovation:
Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.
Experiment with different architectures and approaches.
Snowflake Utilization: (Good to have)
Design and optimize data storage and retrieval strategies using Snowflake.
Implement data modeling, partitioning, and indexing strategies to enhance query performance.
Data Analysis
Posted today
Job Viewed
Job Description
We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications.
Technical Requirements:
Strong proficiency in Python for data processing and automation.
Handson experience with generative AI models and their integration into data workflows.
Handson experience with prompt engineering and LLM models (Opensource and Closesource)
Handson experience with Application development framework like LangChain, LangGraph etc.
Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango.
Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus.
Familiarity with containerization and orchestration tools (Docker, Kubernetes).
As a Data Analysis & Simulation Professional, the person will be responsible for:
Data Pipeline Development:
Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.
Generative AI Integration:
Collaborate with data scientists to integrate generative AI models into the log analysis workflow.
Develop APIs and services to deploy AI models for real-time log analysis and insights generation.
Data Monitoring and Maintenance:
Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.
Troubleshoot and resolve issues related to data ingestion, processing, and storage.
Collaboration and Documentation:
Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs.
Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.
Evaluation and Testing:
Conduct thorough testing and validation of generative models.
Research and Innovation:
Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.
Experiment with different architectures and approaches.
Snowflake Utilization: (Good to have)
Design and optimize data storage and retrieval strategies using Snowflake.
Implement data modeling, partitioning, and indexing strategies to enhance query performance.
Be The First To Know
About the latest Statistical analysis Jobs in Bengaluru !
Data Analysis
Posted today
Job Viewed
Job Description
Job Description:
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.
- Supports organization staff by establishing and interviewing program; counselling managers on candidate selection; conducting and analyzing exit interviews; and recommending changes.
- 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.
Analyst-Data Analysis
Posted today
Job Viewed
Job Description
About the role
Analyse complex datasets and make it consumable using visual storytelling and visualization tools such as reports and dashboards built
using approved tools (Tableau, PyDash)
You will be responsible for
Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities:
- Identifying operational improvements and finding solutions by applying CI tools and techniques
- Responsible for completing tasks and transactions within agreed KPI's
- Knows and applies fundamental work theories/concepts/processes in own areas of work
- Engage with market partners to understand problems to be solved, translate the business problems to analytical problems, taking
ownership of specified analysis and translate the answers back to decision makers in business
- Manipulating, analyzing and synthesizing large complex data sets using different sources and ensuring data quality and integrity
- Responsible for high quality and timely completion of specified work deliverables
- Support automation of repeatable tasks, report generation or dashboard refresh
- Think beyond the ask and develop analysis and reports that will contribute beyond basic asks
- Write codes that are well detailed, structured, and compute efficient
- Contribute to development of knowledge assets and reusable modules on GitHub/Wiki
- Ability to generate practical insights that drive decisions in our business operations
- Understands business needs and in depth understanding of Tesco processes
- Responsible for completing tasks and transactions within agreed important metrics
You will need
Basic understanding of Business Decisions, Basic Skills to
1-2 year Experience preferred in analytics delivery in any one of
develop visualizations, self-service dashboards and reports using
domains like retail, cpg, telecom or hospitality and for one of the
Tableau & Basic Statistical Concepts (Correlation Analysis and
following functional areas - marketing, supply chain, customer,
Hyp. Testing), Basic skills to analyze data using Adv Excel, SQL,
merchandising, operations, finance or digital preferred
Hive, Basic DW concepts on Hadoop and Teradata, Automation
using alteryx/ python is good to have
Whats in it for you?
At Tesco, we are committed to providing the best for you.
As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.
Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.
Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable.
Salary - Your fixed pay is the guaranteed pay as per your contract of employment.
Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually
Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company's policy.
Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.
Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.
Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.
Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.
Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.
Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.
About Us
Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers.
Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues.
Tesco Business Solutions:
Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation
Data Analysis Analyst
Posted today
Job Viewed
Job Description
About the Role:
We are looking for a highly analytical and detail-oriented individual to join the Founders Office.
This role will focus on data reporting, business analysis, and decision-support for strategic initiatives.
You will work directly with the founders to structure data-driven insights that guide business growth.
Key Responsibilities:
Build, automate, and maintain business reports and dashboards.
Conduct deep-dive quantitative analyses to identify trends, risks, and opportunities.
Translate raw data into actionable insights for strategy and operations.
Support founders with quick-turnaround analysis for decision-making.
Requirements:
Graduate from a Tier-1 institute.
Strong quantitative aptitude with proven experience in data analysis.
Proficiency in Excel, SQL, and visualization tools.
Ability to thrive in high-velocity start-up environments.
Excellent communication and presentation skills.