Time since we first saw it
Day 17
Similar jobs usually come down between day 5 and day 43.
From 14,545 similar postings that came down. Coming down is not always a hire.
Noida, Uttar Pradesh, India
Live, first seen by us 17 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Experience: 1 to 2 years in a data analyst or business intelligence role (or freshers with strong technical project)
Write, run and optimize SQL queries to extract and clean relational data
Design and maintain interactive Power BI dashboards for KPIs and operational metrics
Analyze call logs and messaging volumes to track usage trends
Run ad-hoc deep dives in Advanced Excel to answer operational questions
Validate data accuracy before publishing reports
Write, run, and optimize SQL queries to extract, aggregate, and clean data from relational databases.
Design and maintain interactive Power BI dashboards to track key performance indicators (KPIs) and operational metrics.
Analyze operational datasets - including call logs, messaging interaction volumes - to ensure accurate reporting and track usage trends.
Conduct quick, data-driven deep dives using Advanced Excel (PivotTables, Power Query, complex formulas) to resolve immediate operational queries.
Validate data accuracy before publishing reports
Role Summary We are seeking a detail-oriented Data Analyst to join our team. In this role, you will transform raw data into actionable insights, supporting day-to-day data operations and executive reporting. You will query relational databases, build dynamic dashboards, and perform ad-hoc analyses to answer critical business questions. Key Responsibilities • Database Management & SQL: Write, run, and optimize SQL queries to extract, aggregate, and clean data from relational databases. • Dashboarding & BI: Design and maintain interactive Power BI dashboards to track key performance indicators (KPIs) and operational metrics. • Operational Analysis: Analyze operational datasets - including call logs, messaging interaction volumes - to ensure accurate reporting and track usage trends. • Ad-Hoc Analysis: Conduct quick, data-driven deep dives using Advanced Excel (PivotTables, Power Query, complex formulas) to resolve immediate operational queries. • Data Quality & Collaboration: Validate data accuracy before publishing reports and collaborate with team members to translate business requirements into technical data solutions. Requirements Required Skills & Qualifications • Experience: 1 to 2 years in a data analyst or business intelligence role (or freshers with strong technical project). • SQL: Proficiency in writing queries using joins, aggregations, conditional logic, and subqueries/window functions. • Power BI: Hands-on experience building reports, managing relationships in data models, and writing basic DAX measures. • Excel: Advanced proficiency in Excel (XLOOKUP/INDEX MATCH, PivotTables, formatting, data manipulation). • Problem-Solving: Strong analytical mindset with a high attention to detail.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 17
Similar jobs usually come down between day 5 and day 43.
From 14,545 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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No pay amount identified in the saved description.
Noida, Uttar Pradesh, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting