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Greentech • Energy
The Senior Data Analyst will lead utility data research, manage policies on electricity rates, work with data teams, and document processes.
Top Skills:
PythonSQL
Greentech
The Senior Data Analyst will conduct research on electricity pricing and policies, manage a team, and work on data strategies with technical expertise in SQL and Python.
Top Skills:
PythonSQL
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
The Senior Data Analyst II will create advanced analytics, identify data quality issues, and support data-driven decision making across teams.
Top Skills:
AstronomerDbt CloudEclFivetranHpccLinuxSaltSnowflakeSQLTableauUnixXML
You have a passion for data, a keen attention to detail and an analytical mindset. You are a problem-solver that enjoys working collaboratively to use data insight to drive business solutions. The job requires a resource with a strong focus on SQL, Python, and Machine Learning, AI , LLM Concepts
What You'll Do:
- Utilize strong SQL and Python skills to extract, transform, and analyze large datasets, uncovering insights and trends.
- Apply statistical methodologies to interpret data, conduct hypothesis testing, and provide actionable recommendations for business improvements.
- Create clear and insightful visualizations using tools like Qliksense/Looker to effectively communicate findings to both technical and non-technical stakeholders.Create graphical visualizations and KPI's for BI solutions as needed
- Understanding of role of statistical models and analytics in business decision-making
- Work closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Ability to capture and analyze quantitative and qualitative data to draw inferences
- Employ advanced analytical techniques such as regression analysis, clustering, and predictive modeling to enhance data-driven decision-making.
- Employ data mining techniques to discover hidden patterns and relationships within large datasets.
What You'll Need:
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, or related discipline).
- Proven experience working with a strong focus on SQL, Python, and Machine Learning.
- Proficiency in statistical analysis and the ability to derive meaningful insights from data.
- Solid understanding of data visualization principles and experience with visualization tools( Any of the following : PowerBI/Tableau/Qliksense/Looker)
- Strong problem-solving skills and attention to detail.
- Effective communication skills to convey complex findings to diverse audiences.
- Ability to work independently and collaboratively in a fast-paced environment.
- Familiarity with Cloud Computing (GCP) , API development & Devops is a plus.
- Familiarity with big data technologies (e.g., Hadoop, Spark, GCP BigQuery) to process and analyze vast amounts of data efficiently.
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
