Business Systems Analyst III

Job Description

• Skill Set :

  SQL,Analytics,AI,computer science,LLM,pipelines,Hive tables,and dashboards,uantitative,or information systems field

• Total Experience :

  5.00 to 15.00 Years

• No of Openings :

  1

• Job Post Date :

  11/08/2026

• Job Expiry Date :

  31/10/2026

• Domain :

  IT

• Location :

  MENLO PARK [United States]

• Job Reference No :

  4101080

Job Summary

Business Systems Analyst III

Remote

Job Description: Remote, Preferred PST Minimum 5 years experience at least 7 years of experience Bachelor's degree in a quantitative, analytics, computer science, or information systems field, or equivalent practical experience. No specific certifications required.

Summary:

Business Analyst with 6-7 years of experience in SQL, data modeling, pipeline development, and operational analytics, who can own and improve the data systems supporting all Enterprise Support pillars rather than only maintain them. Day to day this covers building and maintaining data pipelines, Hive tables, SQL queries, and dashboards. Beyond that, the role is expected to bring its own judgment: proposing better data models, applying AI and LLM tooling to accelerate data work and extract signal from unstructured support data, improving documentation and governance standards, and identifying reporting gaps. Priorities and direction are set with the Meta manager, but the contractor owns how the work gets done and is expected to identify and recommend improvements.

Compliance Requirements

Must follow Meta data handling and privacy standards, including appropriate data classification, least privilege access to sensitive datasets, and no storage of confidential or personally identifiable data outside approved internal systems. Must apply sound judgment about the appropriate use of AI and LLM tooling on internal data. Experience working within enterprise data governance and access control processes is required.

Skillsets/Qualifications

Helpful qualifications include:

Advanced SQL, ideally with Presto and Hive against large datasets Building and maintaining production data pipelines: scheduling, dependency management, backfills, and monitoring Data modeling and warehouse design: schema design, grain, partitioning, and documentation Practical use of AI and LLM tooling in data work, and judgment about where it is and is not appropriate Data governance practice: documented metric definitions, clear table ownership, schema change management, and retiring stale datasets Python or similar scripting for data transformation and automation Dashboarding and data visualization Prior experience supporting an IT, enterprise support, or operations organization

Self-directed: able to take a loosely defined problem, propose an approach, and execute it Bachelor's degree in a quantitative, analytics, computer science, or information systems field, or equivalent practical experience

Responsibilities:

Own the day to day health of the Enterprise Support data layer: pipelines, Hive tables, SQL, and dashboards Design and build data models for new reporting needs, proposing the approach rather than receiving a specification Maintain a documented source of truth for Enterprise Support metrics: definitions, ownership, and freshness Apply AI and LLM tooling to accelerate data work and to extract signal from unstructured support data such as ticket notes and resolution summaries Improve pipeline reliability and reduce manual effort over time through automation Monitor pipeline health, resolve failures and data quality issues, and run backfills Deliver recurring reporting (weekly, monthly, quarterly) and ad hoc analysis Apply and maintain standards for naming, documentation, and schema change management Proactively surface data quality, governance, and coverage gaps Minimum qualifications:

6-7 years of experience in data analytics, business analytics, or analytics engineering Advanced SQL skills, including experience with large scale distributed query engines such as Presto and Hive Demonstrated ownership of production data pipelines and data models, including design decisions rather than only maintenance Practical experience applying AI or LLM tooling within data workflows Experience with data modeling and dashboard development Ability to work independently and communicate status, recommendations, and blockers clearly in writing Preferred qualifications:

Data governance experience: metric catalogs, lineage, table ownership, and schema change management Experience supporting an IT, enterprise support, or technical operations organization Python or similar scripting experience for data automation Experience maintaining operational metrics and SLA reporting

The pay range for this role is $125k to $130k 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.

“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 on the basis of 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 [email protected].”