# Data Analyst at Pearce Services Global (PSG)

> Onsite · India · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Apsg%3A5366802008 (read 2026-11-10).

## Facts (observed)

- Company: [Pearce Services Global (PSG)](https://alderhq.app/companies/pearce-services-global-psg)
- Location text: Hyderabad; Hyderabad
- Where it can be done from (inferred): Onsite · India (evidence: "Location lists "hyderabad"")
- Posted: 2026-07-27 (106 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/psg/jobs/5366802008
- Skills listed (inferred): SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (India, n 3): p25 $52k, median $74k, p75 $146k

## Description (the employer's text)

### Job Description – Data Analyst (2+ Years Experience)

Position: Data Analyst

Experience: 2+ Years

### Job Summary

We are looking for a Power BI Developer/ Data Analyst with 2+ years of experience in developing and maintaining Power BI reports and dashboards. The ideal candidate should have hands-on experience with Power BI Desktop, DAX, Power Query, Basic SQL, along with the ability to translate business requirements into meaningful reports and visualizations.

### Key Responsibilities

- Develop and maintain interactive Power BI dashboards and reports.
- Write DAX measures and calculated columns to support business KPIs.
- Perform data transformation using Power Query.
- Write SQL queries to extract and validate data from databases.
### Required Skills

- Around 2 YOE in Power BI development.
- Good knowledge of Power BI Desktop and Power BI Service.
- Good with Basic DAX and Power Query.
- Good with SQL-Scripting.
- Strong analytical and problem-solving skills.
- Good verbal and written communication skills.
### Educational Qualification

- Bachelor’s degree in engineering, or a related field.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Apsg%3A5366802008 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.