Time since we first saw it
Day 29
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.
Senior Data Analyst
Noida, Uttar Pradesh, India
Live, first seen by us 29 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingCollect, clean, validate and analyze large datasets from multiple sources
Develop and maintain interactive dashboards and reports in Power BI or Tableau
Analyze business KPIs and give actionable insights to stakeholders
Automate reporting processes using Python, SQL and other tools
Mentor junior data analysts and review their work
From the employer’s posting
Collect, clean, validate, and analyze large datasets from multiple sources.
Develop and maintain interactive dashboards and reports using Power BI or Tableau.
Analyze business KPIs and provide actionable insights to stakeholders.
Automate reporting processes using Python, SQL, and other analytical tools.
Mentor junior data analysts and review their analytical work.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 15, 202629 days ago
- Recorded sightings
- 42
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Training Basket is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Excel
- Power BI
- Power Query
- Tableau
- NumPy
- pandas
Where the posting names them
Collect, clean, validate, and analyze large datasets from multiple sources. Develop and maintain interactive dashboards and reports using Power BI or Tableau. Write complex SQL queries to extract, transform, and analyze data. Perform exploratory data analysis (EDA) to identify trends, patterns, and business opportunities. Analyze business KPIs and provide actionable insights to stakeholders. Automate reporting processes using Python, SQL, and other analytical tools. Design and implement data models to support business intelligence and reporting requirements. Collaborate with business, product, marketing, finance, and operations teams to understand analytical requirements. Conduct statistical analysis, forecasting, and trend analysis. Ensure data accuracy, consistency, integrity, and quality across reports. Create and maintain documentation for dashboards, reports, and analytical processes. Present analytical findings and recommendations to senior management. Identify opportunities for process improvement and operational efficiency. Mentor junior data analysts and review their analytical work. Support business strategy through data-driven insights and performance analysis. Requirements Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, Data Analytics, or a related field. 4–7 years of professional experience in data analytics or business intelligence. Advanced proficiency in SQL, including joins, subqueries, CTEs, window functions, and query optimization. Strong knowledge of Python, including Pandas, NumPy, and data manipulation. Hands-on experience with Power BI, Tableau, or similar BI tools. Advanced Excel skills, including Pivot Tables, XLOOKUP, Power Query, and complex formulas. Strong understanding of statistical analysis, hypothesis testing, and data interpretation. Experience in data cleaning, transformation, validation, and reporting. Knowledge of ETL processes, data warehousing, and data modeling. Ability to translate business requirements into analytical solutions. Excellent communication, presentation, and stakeholder management skills. Strong analytical thinking, problem-solving, and attention to detail.
Your next step
Complete your application on trainingbasket.zohorecruit.com. The employer’s form will show what is required.
Already applied? Track this application
Demand for Analyst roles
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.
About the role
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.
Job description
Collect, clean, validate, and analyze large datasets from multiple sources. Develop and maintain interactive dashboards and reports using Power BI or Tableau. Write complex SQL queries to extract, transform, and analyze data. Perform exploratory data analysis (EDA) to identify trends, patterns, and business opportunities. Analyze business KPIs and provide actionable insights to stakeholders. Automate reporting processes using Python, SQL, and other analytical tools. Design and implement data models to support business intelligence and reporting requirements. Collaborate with business, product, marketing, finance, and operations teams to understand analytical requirements. Conduct statistical analysis, forecasting, and trend analysis. Ensure data accuracy, consistency, integrity, and quality across reports. Create and maintain documentation for dashboards, reports, and analytical processes. Present analytical findings and recommendations to senior management. Identify opportunities for process improvement and operational efficiency. Mentor junior data analysts and review their analytical work. Support business strategy through data-driven insights and performance analysis. Requirements Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, Data Analytics, or a related field. 4–7 years of professional experience in data analytics or business intelligence. Advanced proficiency in SQL, including joins, subqueries, CTEs, window functions, and query optimization. Strong knowledge of Python, including Pandas, NumPy, and data manipulation. Hands-on experience with Power BI, Tableau, or similar BI tools. Advanced Excel skills, including Pivot Tables, XLOOKUP, Power Query, and complex formulas. Strong understanding of statistical analysis, hypothesis testing, and data interpretation. Experience in data cleaning, transformation, validation, and reporting. Knowledge of ETL processes, data warehousing, and data modeling. Ability to translate business requirements into analytical solutions. Excellent communication, presentation, and stakeholder management skills. Strong analytical thinking, problem-solving, and attention to detail.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Noida, Uttar Pradesh, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.