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Developer, Data Analytics

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Apply at Teletech Holdings

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 20268 days ago
Recorded sightings
14
Last seen by us
Nov 4, 2026

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How this job compares

Time since we first saw it

Day 8

Similar jobs usually come down between day 5 and day 41.

From 10,558 similar postings that came down. Coming down is not always a hire.

Teletech Holdings is hiring

1 open job

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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.

  • SQL
  • BigQuery
  • MySQL
  • PostgreSQL
  • Redshift
  • Snowflake
Where the posting names them
- Analyze business data using Looker. - Write and optimize SQL queries. - Identify trends, patterns, and business insights.
- Optimize LookML code. - Improve SQL query performance. - Reduce dashboard loading time.
- Connect Looker with databases such as: - Google BigQuery - Snowflake
- PostgreSQL - MySQL - Manage database connections.
- Amazon Redshift - PostgreSQL - MySQL
- Snowflake - Amazon Redshift - PostgreSQL
- Google BigQuery - Snowflake - Amazon Redshift

Your next step

Complete your application on teletech.taleo.net. The employer’s form will show what is required.

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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 ↗

Role: Data Analyst 

Experience: 3 - 5 Years

Location: Hyderabad

Job Description:

Data Modeling

  • Develop and maintain LookML models.

  • Create dimensions, measures, views, and explores.

  • Define relationships between database tables.

  • Implement business logic in LookML.

Dashboard Development

  • Create interactive dashboards.

  • Develop reports and visualizations.

  • Configure filters, parameters, and drill-downs.

  • Build dashboards based on business requirements.

. Data Analysis

  • Analyze business data using Looker.

  • Write and optimize SQL queries.

  • Identify trends, patterns, and business insights.

  • Validate reports against source data.

4. Database Connectivity

  • Connect Looker with databases such as:

    • Google BigQuery

    • Snowflake

    • Amazon Redshift

    • PostgreSQL

    • MySQL

  • Manage database connections.

  • Troubleshoot connectivity issues.

. Performance Optimization

  • Optimize LookML code.

  • Improve SQL query performance.

  • Reduce dashboard loading time.

  • Use caching and aggregate awareness where appropriate.

. Security and Access Management

  • Create user roles and permissions.

  • Implement row-level data security.

  • Manage access to dashboards and reports.

  • Maintain data governance standards.

Testing and Validation

  • Validate dashboard results.

  • Perform data reconciliation.

  • Test LookML changes.

  • Identify and fix data discrepancies.

 Deployment and Maintenance

  • Use Git for LookML version control.

  • Manage development and production environments.

  • Deploy changes through Looker Development Mode.

  • Maintain existing dashboards and reports.

 

Source details

View original posting ↗

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Pay

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Location & working pattern

India-Telangana-Hyderabad

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Work authorization

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