Job Description
Job Title:  Technical Lead L1
Req Id:  111442
City:  Austin
State/Province:  Texas
Posting Start Date:  11/16/25
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description: 

Job Description

SQL (PostgreSQL, Snowflake, Redshift)
Python (Pandas, NumPy, feature engineering)
Tableau for visualization
Git / Bitbucket for version control
JIRA / Confluence for project tracking and documentation

We are seeking a highly skilled Senior Data Analyst / Business Data Consultant to partner with our Data Team. 
This project supports the company’s data modernization and analytics roadmap, enabling unified reporting, trusted master data, and scalable analytics across global business units.
Key Responsibilities
Data Analysis & Insight Generation: Perform in-depth analysis of enterprise data to uncover trends, patterns, and correlations. Identify actionable insights and data-driven opportunities that inform decision-making and strategic initiatives.
Data Use Case Identification: Collaborate with stakeholders to identify and define data use cases across functional domains, ensuring alignment with business priorities and future-state data strategy.
Business-to-Technical Translation: Engage with stakeholders to translate business requirements into clear technical specifications, analytical models, and actionable deliverables.
Impact Assessment: Analyze current-state data and infrastructure versus future-state goals; identify data and process gaps; define mitigation strategies.
Data Profiling & Quality Analysis: Perform deep dives into structured and semi-structured datasets to assess completeness, consistency, and accuracy; work with SMEs to understand data availability and source gaps.
Data Integration & Transformation: Design and validate data pipelines and transformations; document lineage and dependencies.
Feature Engineering & Analytics: Use Python and SQL to extract, clean, and engineer data features for analytics and modeling.
Reporting & Visualization: Build and maintain insightful Tableau dashboards and reports to communicate findings effectively.
Governance & Documentation: Maintain business glossary, data dictionary, and metadata aligned with governance standards.
Testing & Validation: Participate in validation of new or transformed data sets to ensure integrity and alignment with business requirements.
Knowledge Management: Maintain the data dictionary and business glossary for assigned domains, capturing and documenting definitions aligned with business leadership and global teams.
Cross-functional Collaboration: Partner closely with data engineers, product managers, and business SMEs to align solutions with business objectives.
Required Skills & Qualifications
Experience in data analytics, business analysis, or data management.
Advanced SQL expertise with ability to query and optimize large, complex datasets.
Proficiency in Python for data analysis, transformation, and feature engineering (Pandas, NumPy).
Experience with Tableau or similar BI visualization tools for storytelling and dashboards.
Deep understanding of data architecture, governance, MDM, and data lineage.
Proven track record in identifying and scoping new data use cases and converting insights into business recommendations.
Strong analytical thinking, stakeholder management, and communication skills.
Experience with Snowflake, Databricks, or Hadoop/Spark environments.
Exposure to data catalog or governance tools (Collibra, Alation).
Familiarity with D&B data hierarchy, enrichment, or similar reference data systems.
Mandatory Skills: Data Analysis .

 

Experience: 5-8 Years .

 

The expected compensation for this role ranges from $60,000 to $135,000 .

 

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

 

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

 

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

 

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
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We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.