97 Experiments jobs in India

We are seeking a skilled data analytics expert to join our analytics division.

• You will be aligned with our data analytics and bi vertical, leveraging the latest analytics techniques to deliver value to clients.
• You will help us apply expertise in building world-class solutions, conquering business problems, addressing technical challenges using various platforms and technologies.
• You will utilize existing tools, frameworks, standards, patterns to create architectural foundations and services necessary for analytics applications that scale from multi-user to enterprise-class.
• You will work as part of the analytics team, providing insights, actionable recommendations to internal & external organizations on optimizing ROI & performance efficiency in operations.

Key Responsibilities:

• Experience & Education:
• 5+ years progressive experience in data analytics and business intelligence
• Bachelor's degree required; preferably in Computer Science, Analytics, Statistics, or related field
• Proven experience in IT services industry or managed services provider environment
• Technical Expertise:
• Extensive experience in data science and advanced analytics delivery teams
• Strong statistical programming skills - SQL, Python
• Experience working with large data sets and big data tools like GCP (BigQuery, VertexAI), AWS, MS Azure etc.
• Solid knowledge in multivariate statistics, reliability models, Markov models, stochastic modeling, classification, regression, clustering ensemble modeling
• Experience in supply chain, marketing analytics, customer analytics, digital marketing, e-commerce business domains

Industry Knowledge:

• Understanding of ITIL and IT service management frameworks
• Experience with service desk metrics and KPIs
• Knowledge of data center and network management analytics
• Familiarity with cybersecurity analytics and reporting

We are seeking a highly skilled and motivated Data Analyst to join the CEOs and CFOs Office . In this role, you will work directly with the Company’s Management Team, providing in-depth data insights and analyses to facilitate informed decision-making.

Critical Tasks

Work closely with the KMPs to gather, process, and analyze data across various domains.

Develop and maintain data models, reports, and dashboards to support the business’s analytical needs.

Identify trends, patterns, and actionable insights in data to help drive critical decisions.

Present clear and concise analysis, leaving decision-making and strategy development to the founder.

Ensure efficient handling and visualization of large datasets to provide timely insights.

Stay updated on the latest tools, techniques, and trends in data analysis.

Educational Background and Work Experience

Experience: 3-6 years of proven experience in data analysis roles, preferably in B2B or B2C sectors .

Technical Skills:

● Proficient in data analysis tools like SQL, Python, R, or similar.

● Experience with BI tools such as Tableau, Power BI, or Looker.

● Strong knowledge of Excel, including advanced formulas and data manipulation.

● Analytical Skills: Ability to derive meaningful insights from complex datasets.

● Communication Skills: Strong ability to present data in a clear and concise manner.

● Educational Background: A degree in Data Science, Statistics, Mathematics, Economics, or a related field.

Competencies

A self-starter who thrives in a fast-paced environment.

Someone with a passion for numbers and a meticulous attention to detail.

Prior experience as Founder or Co-Founder is a must.

Preference for candidates not overly inclined towards strategic roles, with a focus on delivering top-notch data insights.

Working relationships – Stakeholders

Internal: Sales & Marketing, Finance, Plant & Operations

External:

Consultants, Knowledge Partners and Business Partners

Job Description:

Role: Data Analyst- Sr. Associate

Experience: 5-12 Years

Skills: Data Analysis, DatawareHousing, Strong Sql, Python

Insurance Domain experience of minimum 3-4 years (Mandatory- reinsurance, actuaries. Good to have- annuities, liabilities)

• 7-9 years of experience as a Data Analyst, with at least 5 years supporting Finance within the insurance industry.
• Hands-on experience with Vertica/Teradata for querying, performance optimization, and large- scale data analysis.
• Advanced SQL skills: proficiency in Python is a strong plus.
• Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration.
• Experience working in hybrid onshore-offshore team environments.
• Knowledge of data engineering principles: ETL/ELT, data lakes, and data warehousing.
• Deep understanding of data modeling concepts and experience working with relational and dimensional models.
• Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences.
• A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios.
• Strong understanding of life insurance products and business processes across the policy lifecycle.
• Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets.

Please share your resume to

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Create data visualizations and reports to communicate findings.
• Support data scientists and analysts in developing analytical models.
• Contribute to data quality checks and validation processes.
• Learn and apply various data analysis tools and techniques.
• Participate in team meetings and contribute to project discussions.
• Assist in documenting data analysis processes and methodologies.
• Understand business requirements and translate them into data analysis tasks.
• Develop basic skills in statistical analysis and reporting.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and principles.
• Basic understanding of data analysis and visualization techniques.
• Proficiency in MS Excel and familiarity with data analysis software (e.g., Python, R, SQL - basic knowledge is a plus).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal abilities.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team environment.
• Attention to detail and accuracy.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform basic statistical analysis on datasets to identify trends and patterns.
• Create clear and concise data visualizations (charts, graphs) to communicate findings.
• Support senior analysts in developing reports and dashboards.
• Learn and apply data analysis tools and techniques.
• Contribute to data quality checks and validation processes.
• Collaborate with cross-functional teams to understand data needs.
• Assist in interpreting data and providing actionable insights.
• Participate in training sessions to enhance data analysis skills.
• Document methodologies and findings for future reference.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Recent graduates with a strong academic background in quantitative subjects.
• Basic understanding of statistical concepts and methods.
• Proficiency in Microsoft Excel is required.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of programming languages like Python or R is a plus.
• Excellent analytical and problem-solving abilities.
• Strong communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.

• Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Python or R.
• Good understanding of SQL and database concepts.
• Familiarity with data visualization tools is a plus.
• Excellent communication and teamwork skills.
• Eagerness to learn and develop expertise in data analysis.