MIS Data Analyst and Automation Specialist
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Key skills for this role
Role Overview
Own revenue data pipelines, marketing attribution, sales analytics, and workflow automation.
Convert raw data into actionable business insights using SQL, advanced Excel, Power BI, data analytics, and automation.
Key Skills for This Role
Full Job Posting
Job Summary
Own revenue data pipelines, marketing attribution, sales analytics, and workflow automation.
Convert raw data into actionable business insights using SQL, advanced Excel, Power BI, data analytics, and automation.
Role Details
Department: Revenue Operations / Sales Operations and Analytics.
Location: Hyderabad, Telangana.
Experience: 2–3 or more years.
Job type: Full-time.
Work mode: Work from office.
Key Responsibilities
- Design, build, and maintain automated workflow pipelines, ETL processes, and database queries using Python, SQL, and Google Apps Script.
- Develop and optimize real-time executive dashboards using Power BI and Looker Studio.
- Track lead distribution, sales response times, conversion funnels, and operational KPIs.
- Analyse multichannel marketing data, including Meta Ads and TeleCRM.
- Evaluate campaign performance and track Cost Per Qualified Lead.
- Identify data issues and help prevent inefficient or wasted advertising spend.
- Build custom tracking mechanisms to support data integrity and pipeline visibility.
- Collaborate with Sales Operations and Performance Marketing teams to improve reporting and automation.
Required Skills
- 2–3 or more years of professional experience in MIS, data analytics, business intelligence, or a related field.
- Strong knowledge of SQL.
- Advanced Excel or Google Sheets skills, including Pivot Tables, Power Query, and DAX.
- Hands-on experience with Power BI or Looker Studio.
- Experience with Python or Google Apps Script.
- Strong understanding of data modeling, data cleaning, and exploratory data analysis.
- Strong analytical and problem-solving skills.
Preferred Skills
- Experience with TeleCRM.
- Experience with Meta Ads Manager.
- Knowledge of BigQuery.
- Familiarity with Medallion Architecture or modern data pipeline frameworks.
- Experience in retail, e-commerce, or high-growth startup environments.
Candidate Profile
The candidate should be analytical, detail-oriented, technically strong, and comfortable working with large datasets and automated reporting systems.
Compensation
- Pay is ₹30,000–₹50,000 per month.
Work Location
- Work is performed in person and from the office.
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