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Tech Lead

Tech Mahindra Ltd

  • Austin, TX
  • 3 days ago
  • Remote
  • $120,000–$130,000 Per Year

Highlights

Complex SQL & Data Pulls: Write, optimize, and execute advanced GoogleSQL queries across internal Google data repositories (including deepmind_analytics, Buganizer, CRM, and Plx tables) to generate rapid, highly accurate data pulls for executive leadership. You will leverage Google's internal analytics infrastructure-including Plx Dashboards, GoogleSQL, query engines, and Plx Workflows-to design executive-ready dashboards, automate recurring data pulls, and perform deep-dive statistical analyses.

Numbers & Facts

LocationAustin, TX (
Remote
)
IndustryInternet Services
Salary$120,000–$130,000 Per Year
Company Size10,000 employees or more

Description

Job Description

  • Skill Set : Data analysis
  • Total Experience : 3.00 to 10.00 Years
  • No of Openings : 1
  • Job Post Date : 17/08/2026
  • Job Expiry Date : 30/09/2026
  • Domain : IT
  • Location : AUSTIN [United States]
  • Job Reference No : 4102092

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Job Summary

Job Title: Business Intelligence (BI) Lead

Location: Remote (CST Hours)

Onsite/Remote/Hybrid: Remote

Hourly Rate: $75/Hr

The salary for this role is $120000 to $130000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.

ROLE DESCRIPTION:

As an AI Tech Business Intelligence (BI) Lead, you will serve as the analytical and quantitative engine of the organization. You will leverage Google's internal analytics infrastructure-including Plx Dashboards, GoogleSQL, query engines, and Plx Workflows-to design executive-ready dashboards, automate recurring data pulls, and perform deep-dive statistical analyses.

In this role, you will collaborate closely with Strategy & Operations (S&O), Engineering leadership, and Go-To-Market teams to define canonical metrics, track customer engagement ROI, and monitor the velocity of AI transformations. You will be responsible for building self-service BI tools, conducting bespoke quantitative studies (e.g., measuring the activation gap across accounts), and translating complex datasets into clear, narrative reporting for VP and director-level stakeholders.

RESPONSIBILITIES:

  • Plx Dashboard Architecture: Design, develop, and maintain highly performant, automated Plx Dashboards (and Looker/Tableau reporting suites) to visualize key AI Tech operational metrics, FDE allocation efficiency, and customer engagement outcomes, among others.
  • Complex SQL & Data Pulls: Write, optimize, and execute advanced GoogleSQL queries across internal Google data repositories (including deepmind_analytics, Buganizer, CRM, and Plx tables) to generate rapid, highly accurate data pulls for executive leadership.
  • Data Pipeline Automation (ETL): Build, monitor, and maintain reliable data pipelines using Plx Workflows and automated scripting to ingest, clean, transform, and aggregate raw operational data into curated data tables.
  • Deep-Dive Quantitative Analysis: Perform ad-hoc statistical and exploratory data analyses to answer critical strategic questions, evaluate engagement ROI, analyze customer adoption patterns, and identify operational efficiency bottlenecks.
  • Metric Governance & Standardization: Partner with Strategy & Operations (S&O) to define, standardize, and govern canonical business and operational metrics across the AI Tech organization.
  • Executive Reporting & Storytelling: Synthesize complex data findings into structured visual charts, executive briefing summaries, and narrative presentations for the leadership
  • Self-Service BI Enablement: Empower field teams and program managers with self-service data tools and documentation, reducing manual reporting overhead and accelerating time-to-insight.

MINIMUM QUALIFICATIONS:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, Information Systems, or equivalent practical experience.
  • 8+ years of relevant experience in Business Intelligence, Data Analytics, Quantitative Analysis, or technical consulting within an enterprise technology environment.
  • Advanced proficiency in writing complex SQL queries (e.g., GoogleSQL, ANSI SQL) and querying large-scale relational databases and data warehouses.
  • Proven experience designing and deploying interactive BI dashboards and reporting applications (e.g., Plx Dashboards, Looker, Tableau, or Power BI).
  • Experience building and maintaining data transformation workflows and ETL pipelines.

"Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely based on their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com."

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About Company

Tech Mahindra represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates and the Society to Rise™. We are a USD 4.6 billion company with 117,200+ professionals across 90 countries, helping over 885 global customers including Fortune 500 companies. Our convergent, digital, design experiences, innovation platforms and reusable assets connect across a number of technologies to deliver tangible business value and experiences to our stakeholders. Tech Mahindra is amongst the Fab 50 companies in Asia (Forbes 2016 list).

We are part of the USD 19 billion Mahindra Group that employs more than 200,000 people in over 100 countries. The Group operates in the key industries that drive economic growth, enjoying a leadership position in tractors, utility vehicles, after-market, information technology and vacation ownership.

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