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Data Analyst

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 10, 2026today
Recorded sightings
1
Employer says posted
Sep 10, 2026

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How this job compares

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Day 0

Early. Similar jobs usually come down between day 5 and day 42.

From 12,386 similar postings that came down. Coming down is not always a hire.

abgcareers is hiring

26 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See 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
  • Power BI
  • Keras
  • Matplotlib
  • NumPy
  • pandas
  • SciPy
  • TensorFlow
Where the posting names them
- Explore and stay current on industry best practices, bringing insights and ideas to help drive and shape future strategy and business planning; Identify key industry trends and how they impact the business / analytics & data processes. - Hands-on experience of Python programming (such as different objects, class & instance variables, multiple inheritance, generator etc) and multiple packages (such as SciPy, NumPy, Matplotlib, Pandas, seaborn etc) is mandatory, and any packages related to statistical/Al-ML (such as Tensorflow, Keras etc] is good to have. - Hands-on experience of advance level of Power BI (such as interactive UI/UX Features, Data integration, Customizable dashboards etc) is mandatory
- Strong in data structures and algorithms - Programming experience in Python - Advanced SQL knowledge and experience working with relational databases, query authoring (SQL)
- Programming experience in Python - Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) - Familiar with data model development is preferred.
- Hands-on experience of Python programming (such as different objects, class & instance variables, multiple inheritance, generator etc) and multiple packages (such as SciPy, NumPy, Matplotlib, Pandas, seaborn etc) is mandatory, and any packages related to statistical/Al-ML (such as Tensorflow, Keras etc] is good to have. - Hands-on experience of advance level of Power BI (such as interactive UI/UX Features, Data integration, Customizable dashboards etc) is mandatory - Should be self-driven, highly motivated and possess excellent multitasking skills.

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Demand for Analyst roles

New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 966, the most 1,495, and the latest week had 1,495.
August 17Last week

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

View original posting ↗

Job Description

Business Objectives Recommendations

 

  • Collaborate with various teams to collect business data to complete timely analysis/Reporting.
  • Take ownership of data extraction, processing, cleansing, and verifying the integrity of data used for analysis Design, develop, and deploy analytical solutions, build data-based insights (qualitative and quantitative) to measure the efficiency and effectiveness of business and data processes.
  • Explore and stay current on industry best practices, bringing insights and ideas to help drive and shape future strategy and business planning; Identify key industry trends and how they impact the business / analytics & data processes.

 

 

  • Hands-on experience of Python programming (such as different objects, class & instance variables, multiple inheritance, generator etc) and multiple packages (such as SciPy, NumPy, Matplotlib, Pandas, seaborn etc) is mandatory, and any packages related to statistical/Al-ML (such as Tensorflow, Keras etc] is good to have.
  • Hands-on experience of advance level of Power BI (such as interactive UI/UX Features, Data integration, Customizable dashboards etc) is mandatory
  • Should be self-driven, highly motivated and possess excellent multitasking skills.
  • Should be passionate about solving business problems with use of data, algorithms, analytics and technology.
  • Any experience related to statistical/machine learing model development is good to have but not essential.
  • Any experience in credit risk and retail lending is good to have but not essential

 

 

  • 2-4 years of industry experience in data technology space as an individual or team contributor.
  • Strong in data structures and algorithms
  • Programming experience in Python
  • Advanced SQL knowledge and experience working with relational databases, query authoring (SQL)
  • Familiar with data model development is preferred.
  • Experience in credit risk analytics, retail lending or any of one financial service is preferred
Source details

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Pay

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Location & working pattern

Maharashtra, India

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