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Data Analyst - Python/ Power BI/ SQL

LinkedIn

Amravati · On-site Full-time Yesterday

About the role

About

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data‑driven intelligence to modernize systems of engagement and simplify human/tech interaction.

At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients.

Position

Data Analyst

Responsibilities

  • Develop dashboards and reports using tools such as Power BI, Tableau, or Excel to present KPIs and performance metrics.
  • Write complex SQL queries to extract, transform, and validate data from multiple sources.
  • Perform data quality checks, identify anomalies, and ensure accuracy, consistency, and completeness of datasets.
  • Support data modeling activities, including building datasets, data dictionaries, and documentation.
  • Conduct ad‑hoc analysis to support strategic initiatives, operational improvements, and leadership requests.
  • Automate recurring reporting processes using Python, SQL, or scripting tools to improve efficiency.
  • Work closely with data engineering and BI teams to enhance data pipelines, optimize queries, and improve data availability.
  • Present findings through clear visualizations, summaries, and presentations tailored to technical and non‑technical audiences.

Equal Opportunity Statement

We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Responsibilities

  • Develop dashboards and reports using tools such as Power BI, Tableau, or Excel to present KPIs and performance metrics.
  • Write complex SQL queries to extract, transform, and validate data from multiple sources.
  • Perform data quality checks, identify anomalies, and ensure accuracy, consistency, and completeness of datasets.
  • Support data modeling activities, including building datasets, data dictionaries, and documentation.
  • Conduct ad‑hoc analysis to support strategic initiatives, operational improvements, and leadership requests.
  • Automate recurring reporting processes using Python, SQL, or scripting tools to improve efficiency.
  • Work closely with data engineering and BI teams to enhance data pipelines, optimize queries, and improve data availability.
  • Present findings through clear visualizations, summaries, and presentations tailored to technical and non‑technical audiences.

Skills

ExcelPower BIPythonSQLTableau

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