Time since we first saw it
Day 160
Up longer than most. Similar jobs usually come down between day 5 and day 42.
From 12,311 similar postings that came down. Coming down is not always a hire.
Associate Data Analytics (Credit)
Hyderabad, Telangana, India
Open 5 months, first seen by us 160 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 postingDesign, build and maintain operational dashboards and recurring KPI reports
Translate business reporting needs into SQL queries and visualizations
Ensure data accuracy and resolve discrepancies across operational reports
Analyze application flow, merchant behavior and advance performance trends
Write documentation and maintain data dictionaries for self-service use
From the employer’s posting
Design, build, and maintain operational dashboards and recurring reports to track key performance indicators (KPIs)
translate business requirements into efficient data queries and visualizations
Ensure data accuracy and integrity across operational reports, proactively identifying and resolving discrepancies or anomalies
Analyze trends in application flow, merchant behavior, and advance performance to inform process improvements and resource planning
Develop documentation and maintain data dictionaries to support data governance and stakeholder self-service
Posting record
Report an errorOpen 5 monthsWe first saw this posting 160 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026160 days ago
- Recorded sightings
- 75
- Last seen by us
- Nov 9, 2026
- Employer says posted
- Mar 26, 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
Fortunize is hiring
6 open jobs
- No new data jobs since July
- Its jobs tend to stay up a long time
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
- R
- SQL
- Looker
- Power BI
- Redshift
- Snowflake
- Tableau
Where the posting names them
The Data Analyst, will play a key role in enabling data-informed decision-making across our commercial vertical. This position is responsible for developing, maintaining, and optimizing data, reporting tools and dashboards that support loan origination, underwriting, and portfolio management. The ideal candidate is detail-oriented, technically proficient, and highly collaborative. Requirements Design, build, and maintain operational dashboards and recurring reports to track key performance indicators (KPIs) related to loan volume, processing times, approval rates, and servicing metrics. Collaborate with operations, credit risk, underwriting, product, and finance teams to identify reporting needs and translate business requirements into efficient data queries and visualizations. Ensure data accuracy and integrity across operational reports, proactively identifying and resolving discrepancies or anomalies. Analyze trends in application flow, merchant behavior, and advance performance to inform process improvements and resource planning. Develop documentation and maintain data dictionaries to support data governance and stakeholder self-service. Support ad hoc reporting requests and contribute to cross-functional data initiatives. Required Experience & Skills: Bachelor’s degree in a quantitative field (e.g., Statistics, Business Analytics, Economics, Computer Science, or related discipline). 2–4 years of experience in data analysis or business intelligence, ideally in fintech, financial services, or lending Strong SQL skills and experience working with relational databases. Proficiency with data visualization tools (e.g., Tableau, Power BI, Looker, or similar). Excellent attention to detail and commitment to data accuracy. Strong communication skills, with the ability to explain technical findings to non-technical audiences. Qualifications: Familiarity with small business lending workflows and key operational metrics. Experience with Python or R for data manipulation and analysis. Understanding of data governance, KPI definition, and dashboard usability best practices. Exposure to cloud-based data environments (e.g., Snowflake, Redshift).
Your next step
Complete your application on fortunize.zohorecruit.in. The employer’s form will show what is required.
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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.
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
The Data Analyst, will play a key role in enabling data-informed decision-making across our commercial vertical. This position is responsible for developing, maintaining, and optimizing data, reporting tools and dashboards that support loan origination, underwriting, and portfolio management. The ideal candidate is detail-oriented, technically proficient, and highly collaborative. Requirements Design, build, and maintain operational dashboards and recurring reports to track key performance indicators (KPIs) related to loan volume, processing times, approval rates, and servicing metrics. Collaborate with operations, credit risk, underwriting, product, and finance teams to identify reporting needs and translate business requirements into efficient data queries and visualizations. Ensure data accuracy and integrity across operational reports, proactively identifying and resolving discrepancies or anomalies. Analyze trends in application flow, merchant behavior, and advance performance to inform process improvements and resource planning. Develop documentation and maintain data dictionaries to support data governance and stakeholder self-service. Support ad hoc reporting requests and contribute to cross-functional data initiatives. Required Experience & Skills: Bachelor’s degree in a quantitative field (e.g., Statistics, Business Analytics, Economics, Computer Science, or related discipline). 2–4 years of experience in data analysis or business intelligence, ideally in fintech, financial services, or lending Strong SQL skills and experience working with relational databases. Proficiency with data visualization tools (e.g., Tableau, Power BI, Looker, or similar). Excellent attention to detail and commitment to data accuracy. Strong communication skills, with the ability to explain technical findings to non-technical audiences. Qualifications: Familiarity with small business lending workflows and key operational metrics. Experience with Python or R for data manipulation and analysis. Understanding of data governance, KPI definition, and dashboard usability best practices. Exposure to cloud-based data environments (e.g., Snowflake, Redshift).
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
Hyderabad, Telangana, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.