Data Business System Analyst
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About Us
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree a Larsen & Toubro Group company combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit
Job Title: Data Business System Analyst
Work Location
Plano TX (Remote)
Job Description
Role Overview:
This role will be responsible for translating business needs into technical requirements, managing logical data models, and working closely with ingestion and curation teams. This role requires a deep understanding of:
Logical data modeling
Complex metadata management
Developing, managing, and aligning technical data requirements
Data curation
Data governance
About the role:
Collaborate with business leaders to define requirements and priorities and to proactively understand and update metric logic and definition
Develop technical requirements (e.g., aggregation level, granularity) based on metrics established by business teams
Design logical data model and orchestration requirements
Own and manage logical data model for the Enterprise Analytics team in tandem with ingestion and curation leads
Oversee data catalog entries and enforce data cataloging rules
Manage access controls for end data products
Manage change requests to the structure, definitions and/or security of identified data objects
Communicate with the Business Data System Owner and Business Data Steward on metric updates
Act as escalation point for Data Quality Analysts when defined processes are insufficient to resolve issues
About you:
Hold a Bachelor s degree in computer science, engineering, statistics, economics, or MBA
Bring 3+ years of experience in data engineering or data analysis
Have hands-on experience with and understanding of the following:
SQL
Python or other programming language
Databricks or other cloud data management platform
Technical and business data cataloging
Logical data modeling, including experience designing logical data models
ETL/ELT tools such as Apache Airflow
Data dictionary development
Bring proven experience in data management, requirements management, and metadata management
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ( LTIM ):
Benefits and Perks:
Comprehensive Medical Plan Covering Medical, Dental, Vision
Short Term and Long-Term Disability Coverage
401(k) Plan with Company match
Life Insurance
Vacation Time, Sick Leave, Paid Holidays
Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
