Title : Senior Software Engineer - Data Analytics
Role Type : Full time
Location : Chennai
Exp : 3 to 5 Yrs
Reports to : Data Scientist
Summary of the profile :
We're seeking a proactive and analytical Data Analyst with 3-5 years of experience to join our team. You'll collect, clean, analyze, and visualize data to uncover insights that drive strategic decisions.
Ideal candidates are proficient in SQL, Python / R, Excel, and familiar with BI tools like Tableau or Power BI.
What you'll do here :
- Extract, clean, and validate data from various sources (e.g., databases, APIs, CSVs), ensuring quality and integrity.
- Conduct exploratory and statistical analysis to identify trends, correlations, and anomalies.
- Build and maintain interactive dashboards and reports using Tableau, Power BI, Looker or similar tools.
- Define, track, and interpret key performance indicators (KPIs) aligned with business objectives.
- Collaborate cross-functionally with teams (e.g. finance, marketing, ops) to gather requirements and present data-backed recommendations.
- Automate repetitive data processes using scripting (Python, SQL, or ETL frameworks).
- Support ad-hoc analytics requests and create compelling visualizations and presentations for stakeholders.
What you will need to thrive :
Bachelor's degree in computer science, Statistics, Mathematics, Economics, or related field.3 to 5 years of professional experience in data analysis or a related fieldStrong SQL skills, ability to write complex queries and manipulate datasetsProficiency in Excel (advanced features like pivot tables, macros, formulas)Experience with at least one BI / visualization tool (Tableau, Power BI, Looker etc.) .Programming skills in Python or R for data manipulation and analysisSolid understanding of statistical methods and data modelingExcellent communication and storytelling skills to translate complex analyses into actionable business insights.Preferred Skills :
Familiarity with big-data ecosystems (Hadoop, Spark, etc.).Experience with ETL tools or frameworksPrior domain knowledge in finance, marketing, operations, or your industry of focus.Exposure to predictive analytics, A / B testing, or machine learning models.Data governance, data warehousing, or data pipeline experience.Certifications like CAP, Google Data Analytics, or Microsoft Certified - Data Analyst Associate.Education :
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.Core competencies :
Communication, Analytical& Problem-Solving Skills(ref : hirist.tech)