Senior Data Analyst
Karnataka, Bengaluru, India
DrinkPrime
Job Overview:
The Senior Data Analyst will play a key role in collecting, analyzing, and interpreting complex data to inform business decisions. The ideal candidate will have extensive experience with data analytics, statistical analysis, and visualization tools. This position requires a deep understanding of business operations, excellent problem-solving skills, and the ability to communicate data-driven insights to stakeholders at all levels.
Key Responsibilities:
1. Analyze large datasets to identify trends, patterns, and insights that can inform business decisions.
2. Develop and maintain interactive dashboards and reports to monitor key business metrics.
3. Collaborate with business units to understand data needs and translate them into actionable analyses.
4. Design and implement data models for predictive and prescriptive analytics.
5. Build and maintain forecasting models to support strategic planning.
6. Develop and enhance reporting processes and metrics to ensure they align with business goals.
7. Ensure data integrity and accuracy by performing data validation and cleaning tasks.
8. Collaborate with data engineering teams to improve data pipelines and data governance practices.
9. Lead ad-hoc data analysis projects, ensuring timely delivery and quality of insights.
Qualifications:
Bachelor’s or Master’s degree in Data Science, Mathematics, Statistics, Economics, Computer Science, or a related field.
Experience:
5+ years of experience in data analysis, business intelligence, or a related field.
Proven track record of working with large datasets and deriving actionable insights.
Experience in data visualization, dashboard creation, and reporting (e.g., Tableau, Power BI, Looker, etc.).
Technical Skills:
Proficiency in SQL for data extraction and manipulation.
Strong knowledge of statistical analysis and techniques.
Expertise in Excel or other spreadsheet tools for complex data analysis.
Familiarity with scripting languages such as Python, R, or similar.
Experience with data warehousing, ETL processes, and big data tools is a plus.
The Senior Data Analyst will play a key role in collecting, analyzing, and interpreting complex data to inform business decisions. The ideal candidate will have extensive experience with data analytics, statistical analysis, and visualization tools. This position requires a deep understanding of business operations, excellent problem-solving skills, and the ability to communicate data-driven insights to stakeholders at all levels.
Key Responsibilities:
1. Analyze large datasets to identify trends, patterns, and insights that can inform business decisions.
2. Develop and maintain interactive dashboards and reports to monitor key business metrics.
3. Collaborate with business units to understand data needs and translate them into actionable analyses.
4. Design and implement data models for predictive and prescriptive analytics.
5. Build and maintain forecasting models to support strategic planning.
6. Develop and enhance reporting processes and metrics to ensure they align with business goals.
7. Ensure data integrity and accuracy by performing data validation and cleaning tasks.
8. Collaborate with data engineering teams to improve data pipelines and data governance practices.
9. Lead ad-hoc data analysis projects, ensuring timely delivery and quality of insights.
Qualifications:
Bachelor’s or Master’s degree in Data Science, Mathematics, Statistics, Economics, Computer Science, or a related field.
Experience:
5+ years of experience in data analysis, business intelligence, or a related field.
Proven track record of working with large datasets and deriving actionable insights.
Experience in data visualization, dashboard creation, and reporting (e.g., Tableau, Power BI, Looker, etc.).
Technical Skills:
Proficiency in SQL for data extraction and manipulation.
Strong knowledge of statistical analysis and techniques.
Expertise in Excel or other spreadsheet tools for complex data analysis.
Familiarity with scripting languages such as Python, R, or similar.
Experience with data warehousing, ETL processes, and big data tools is a plus.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
0
0
0
Category:
Analyst Jobs
Tags: Big Data Business Intelligence Computer Science Data analysis Data Analytics Data governance Data pipelines Data visualization Data Warehousing Economics Engineering ETL Excel Looker Mathematics Pipelines Power BI Python R SQL Statistics Tableau
Region:
Asia/Pacific
Country:
India
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Staff Machine Learning Engineer jobsPrincipal Data Engineer jobsData Scientist II jobsStaff Data Scientist jobsBI Developer jobsData Manager jobsJunior Data Analyst jobsResearch Scientist jobsData Science Manager jobsBusiness Data Analyst jobsLead Data Analyst jobsSenior AI Engineer jobsData Engineer III jobsData Specialist jobsData Science Intern jobsSr. Data Scientist jobsData Analyst Intern jobsSoftware Engineer II jobsSoftware Engineer, Machine Learning jobsData Analyst II jobsAzure Data Engineer jobsPrincipal Software Engineer jobsJunior Data Engineer jobsBI Analyst jobsSenior Data Scientist, Performance Marketing jobs
Snowflake jobsEconomics jobsLinux jobsOpen Source jobsJavaScript jobsHadoop jobsBanking jobsComputer Vision jobsGoogle Cloud jobsKafka jobsPhysics jobsData Warehousing jobsRDBMS jobsNoSQL jobsR&D jobsAirflow jobsMLOps jobsKPIs jobsScala jobsClassification jobsOracle jobsData warehouse jobsStreaming jobsGitHub jobsPostgreSQL jobs
Scikit-learn jobsCX jobsSAS jobsScrum jobsTerraform jobsData Mining jobsPySpark jobsPandas jobsDistributed Systems jobsRobotics jobsBigQuery jobsIndustrial jobsJira jobsLooker jobsUnstructured data jobsE-commerce jobsJenkins jobsRedshift jobsdbt jobsReact jobsMicroservices jobsData strategy jobsPharma jobsMySQL jobsNumPy jobs