data analytics developer

Cooper University Healthcare

<div>About Us:

At Cooper University Health Care, our commitment to providing extraordinary health care begins with our team. Our extraordinary professionals are continuously discovering clinical innovations and enhanced access to the most up-to-date facilities, equipment, technologies and research protocols. We have a commitment to our employees to provide competitive rates and compensation programs. Cooper offers full and part-time employees a comprehensive benefits program, including health, dental, vision, life, disability, and retirement. We also provide attractive working conditions and opportunities for career growth through professional development.
Discover why Cooper University Health Care is the employer of choice in South Jersey.
Short Description:

The Financial Analytics Developer will create reports, data visualizations and analytical solutions that deliver actionable information to business leaders. He/she will primarily utilize the PowerBI analytics and visualization platform to create, deploy and maintain reusable analytical solutions. He/she will analyze and troubleshoot user issues resulting from the use of analytical solutions developed. He/she will champion the process of redesigning reports that are manual today and deploying them into the PowerBI self-service framework to allow end users to access and use the information on demand.
Experience Required:
<ul><li>3 to 5 years of experience in business analytics and performing quantitative and qualitative analytics, preferably in the healthcare industry.</li><li>
1 to 2 years of experience working with advanced features in PowerBI. Demonstrated knowledge of best practices in data visualization.</li><li>
Experience modeling, wrangling and interpreting large data sets to inform decision-making, leveraging tools such as PowerBI Prep or Python.</li><li>
Previous experience working with healthcare (operational /financial) data and healthcare EMR systems (Epic, Clarity, Caboodle) highly preferred.</li><li>
Excellent communication skills along with the ability to work with business leaders and technical teams to gather business needs and turn them into technical requirements.</li><li>
Product management experience a plus.</li><li>
Epic Caboodle and Clarity certifications desirable.</li><li>
Excellent communication skills along with the ability to work with business leaders and technical teams to gather business needs and turn them into technical requirements.</li><li>
Self-motivated, self-directed and attentive to detail.</li></ul>
Education Requirements:

Master&rsquo;s degree required, In a STEM field (Science, Technology, Engineering, Mathematics or Business Analytics) with focus on Business Analytics.
Salary Min ($): USD $41.00 Salary Max ($): USD $70.00</div>

Financial Analytics Developer - Hybrid

Caterpillar

<div>Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world 
As a Data Scientist in the aftermarket analytics team, you will drive parts and services growth by building data-driven solutions that enhance digital products and customer experiences. You will apply analytics and machine learning to solve complex problems, with a focus on personalization and recommendations. You will partner with cross-functional teams, owning components of projects end-to-end while contributing to high-impact solutions that deliver measurable business value.
What You Will Do:<ul><li>
Apply machine learning, statistical modeling, causal inference, and emerging GenAI techniques to understand customer behavior and deliver recommendation and personalization solutions that drive measurable business value</li><li>
Develop and deploy data-driven solutions that optimize digital experiences, including recommendation systems and AI-powered assistants (e.g., conversational insights, targeting, and sales enablement use cases)</li><li>
Partner with product, engineering, and business stakeholders to translate business problems into scalable analytical and AI-driven solutions</li><li>
Own components of analytics and data science projects end-to-end, from exploration and modeling to delivering production-ready insights or features</li><li>
Demonstrate strong initiative to research and apply new techniques, including GenAI approaches, to improve customer impact</li><li>
Communicate findings clearly to technical and non-technical audiences, influencing decisions through data-driven storytelling</li></ul>
What you will have:
<ul><li>Analytical Thinking: Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; Knowledge of techniques and tools that promote effective analysis.</li><li>
Data Cleaning, Analysis, and Preparation: Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.</li><li>
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Experience completing specific tasks and initiatives utilizing machine learning technologies, such as classification, regression, or optimization and specific tools and techniques to process descriptive and inferential statistics.</li><li>
Programming Languages: Experience and fluency with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li><li>
Collaboration &amp; Effective Communication: Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.</li></ul>
Consideration for top candidates:<ul><li>
Bachelors, Masters, or PhD degree in statistics, economics, mathematics, data science or similar degree</li><li>
Experience utilizing quantitative analysis, or a Master&rsquo;s degree or PhD in related field</li><li>
Experience in eCommerce and/or digital products domains</li><li>
Experience with advanced data analysis and statistical methods including regression and hypothesis testing</li><li><div>
Practical applications of machine learning techniques, including Collaborative Filtering, Clustering, and emerging GenAI techniques</div></li><li>
Strong technical and problem-solving skills and evidence of continuous learning in the analytics field</li><li>
Experience leading analytics projects connecting data from various business domains and providing forecasts and insights to run the business profitably</li><li>
Experience with cloud technologies (AWS, Azure, Snowflake, Google Cloud, etc.)</li></ul>
Additional Details:<ul><li>
This position requires the candidate to be in Chicago, IL</li><li>
Relocation assistance is NOT available for this position</li><li>
Visa sponsorship is NOT available with this position.</li></ul>
Summary Pay Range:
$97,530.00 - $158,480.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>
Medical, dental, and vision benefits*</li><li>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>
401(k) savings plans*</li><li>
Health Savings Account (HSA)*</li><li>
Flexible Spending Accounts (FSAs)*</li><li>
Health Lifestyle Programs*</li><li>
Employee Assistance Program*</li><li>
Voluntary Benefits and Employee Discounts*</li><li>
Career Development*</li><li>
Incentive bonus*</li><li>
Disability benefits</li><li>
Life Insurance</li><li>
Parental leave</li><li>
Adoption benefits</li><li>
Tuition Reimbursement</li></ul>
<ul><li>These benefits also apply to part-time employees</li></ul>
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.</div>

Data Scientist, eCommerce Analytics

Rice Engineering

<div>Special Instructions to Applicants :
All interested applicants should attach a cover letter and resume in the Supporting Documents section of the application, preferably in a PDF format to avoid any formatting issues.
About Rice:
Boasting a 300-acre tree-lined campus in Houston, Texas, Rice University is ranked among the nation&rsquo;s top 20 universities by U.S. News &amp; World Report. Rice has a 6-to-1 undergraduate student-to-faculty ratio, and a residential college system, which supports students intellectually, emotionally and culturally through social events, intramural sports, student plays, lectures series, courses and student government. Developing close-knit, diverse college communities is a strong campus tradition, which is why Rice is highly ranked for best quality of life and best value among private universities. 
Rice is also a wonderful place to work. Rice faculty, staff and students share values that are essential to our success as a healthy community. Those values guide our decisions and behaviors and shape Rice&rsquo;s culture. They come through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name &mdash; RICE &mdash; Responsibility, Integrity, Community and Excellence. 
Position Summary:
Under the direction of the Senior Director of Business Analytics, the Development Analytics Specialist supports Development and Alumni Relations (DAR) by delivering reporting, dashboards, analytics, and business intelligence solutions that advance fundraising, donor engagement, prospect management, and campaign performance. The role partners with business stakeholders to translate operational needs into data-driven insights, analyze trends and performance metrics, develop forecasts, and support strategic decision-making. This position also promotes data quality, KPI governance, and effective use of analytics tools, including emerging AI-enabled technologies, while ensuring compliance with university data governance and security standards.
Ideal Candidate Statement:
The ideal candidate is an analytical and collaborative professional with experience in business intelligence, reporting, and data analytics who can translate complex data into actionable insights, partner effectively with diverse stakeholders, and leverage reporting tools, databases, and emerging technologies to support strategic decision-making and operational excellence.
Workplace Requirements:
This position is offered as a hybrid role, combining both in-office and remote work to provide flexibility and support collaboration. Per Rice policy 440 , work arrangements may be subject to change.
*Exempt (salaried) positions under FLSA are not eligible for overtime .
Minimum Requirements:
<ul><li>Bachelor&rsquo;s Degree with emphasis in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business Analytics, Finance, or a related field.
</li><li>2+ years of experience in business intelligence, data analytics, reporting, statistical analysis, or a related field
</li></ul>Skills:
<ul><li>Strong analytical and problem-solving skills.
</li><li>Strong written, verbal, and presentation communication skills.
</li><li>Ability to communicate technical concepts to non-technical audiences.
</li><li>Strong organizational and time management skills.
</li><li>Attention to detail and accuracy.
</li><li>Ability to manage multiple priorities and projects.
</li><li>Ability to work collaboratively across departments.
</li><li>Proficiency with Microsoft Office Suite.
</li></ul>Preferences:
<ul><li>3+ years of related experience described above.
</li><li>Experience in higher education, healthcare, nonprofit, or advancement organizations.
</li><li>Experience with data visualization tools such as Tableau or Power BI.
</li><li>Experience working with CRM systems, preferably Blackbaud CRM.
</li><li>Strong SQL skills and experience querying relational databases (Microsoft SQL Server, Oracle, or similar).
</li><li>Experience developing dashboards, KPIs, and performance metrics.
</li><li>Knowledge of fundraising operations, advancement services, or prospect development.
</li><li>Experience working with data warehouses and business intelligence platforms.
</li><li>Familiarity with AI-enabled analytics tools and automation technologies.
</li></ul>Essential Functions:
<ul><li>Develops, maintains, and enhances dashboards, reports, visualizations, and analytics solutions that support fundraising, donor engagement, prospect management, and campaign strategy.
</li><li>Partners with stakeholders to gather business requirements and translate them into actionable reporting, analytics, and business intelligence solutions.
</li><li>Analyzes fundraising, constituent, portfolio, campaign, and engagement data to identify trends, measure performance, develop forecasts, and support strategic decision-making.
</li><li>Defines, develops, and maintains key performance indicators (KPIs), reporting standards, business rules, and documentation to support consistent and sustainable reporting practices.
</li><li>Writes SQL queries and leverages CRM, data warehouse, and business intelligence platforms to extract, validate, integrate, and analyze data from multiple sources.
</li><li>Ensures data quality, accuracy, integrity, and compliance with established data governance and reporting standards.
</li><li>Evaluates fundraising initiatives, portfolio performance, campaign progress, and operational effectiveness, providing data-driven recommendations for improvement.
</li><li>Develops and supports self-service reporting capabilities and provides guidance to users on analytics tools and resources.
</li><li>Evaluates and supports the implementation of emerging analytics technologies, including AI-enabled tools, in accordance with university policies and governance standards.
</li><li>Manages multiple analytics projects and priorities while maintaining awareness of industry trends, business intelligence tools, and fundraising analytics best practices.
</li><li>Performs all other duties as assigned
</li></ul>Additional Functions:
<ul><li>Collaborates regularly with Development and Alumni Relations staff through meetings, email, Microsoft Teams, Zoom, and other communication platforms.
</li><li>Participates in departmental and university committees, meetings, and professional development activities as appropriate.
</li></ul>Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits-overview 
Rice Mission and Values: Mission and Values | Rice University 
Rice University is committed to ensuring Equal Employment Opportunity and welcoming the fullness of diversity into our candidate pools. Rice considers qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. Rice also provides reasonable accommodations to qualified persons with disabilities. If an applicant requires a reasonable accommodation for any part of the application or hiring process, please get in touch with Rice University&rsquo;s Human Resources Office via email at facstaffada@rice.edu for support.
If you have any additional questions, please email us at jobs@rice.edu . Thank you for your interest in employment with Rice University</div>

Development Analytics Specialist

Wells Fargo

<div>Description
Title:Data Analytics Engineer
Location: Chandler, AZ
Duration: 104 W, 2 D
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on or participate in moderately complex initiatives and deliverables within Business Execution and contribute to large-scale planning related to Business Execution deliverables. Review and analyze moderately complex Business Execution challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Business Execution deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Business Execution. Required Qualifications: Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Key Requirements:<ul><li>Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.</li><li>Design and maintain Power BI dashboards that deliver actionable insights for technology, risk, and governance stakeholders.</li><li>Develop and optimize SQL queries for data extraction, analysis, validation, and reporting.</li><li>Automate data extraction, transformation, and reporting processes using Power Query and ETL methodologies.</li><li>Partner with stakeholders to gather requirements and translate business needs into effective technical solutions.</li><li>Analyze complex data sets to identify trends, risks, opportunities, and process improvements.</li><li>Create and manage user stories, requirements, and development activities within Jira for ServiceNow development.</li><li>Provide ongoing support, enhancements, and continuous improvement for reporting and analytics solutions.</li></ul><ul><li>
PowerBI development</li><li>
Github,</li><li>
SQL Query,</li><li>
Data visualization</li></ul></div>

Data Analytics Engineer (contract)

True Classic

<div>True Classic is hiring a Data &amp; Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards.
This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices &mdash; including pipeline design, data modeling, testing, and documentation &mdash; and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment.
All of True Classic&rsquo;s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise.<h2 class="jobSectionHeader">
Areas of Accountability</h2><h3 class="jobSectionHeader">
Extend &amp; Maintain the Data Platform</h3><ul><li>
Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality</li><li>
Contribute to completion of open data model workstreams across inventory, media, and product functions</li><li>
Expand data source connectivity and pipeline coverage across marketing and fulfillment systems</li><li>
Maintain and improve ETL/ELT workflows via Daasity and BigQuery</li><li>
Help monitor and optimize cloud data infrastructure for cost and performance</li></ul><h3 class="jobSectionHeader">
Bridge Data to the Business</h3><ul><li>
Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders</li><li>
Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&amp;L</li><li>
Contribute to predictive models for demand forecasting, inventory planning, and revenue projections</li><li>
Build and maintain the serving layer that the AI team queries &mdash; clean, modeled BigQuery tables in place of direct API calls</li></ul><h3 class="jobSectionHeader">
AI-Augmented Development</h3><ul><li>
Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development</li><li>
Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools</li><li>
Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring</li></ul><h3 class="jobSectionHeader">
Cross Functional Collaboration</h3><ul><li>
Work with finance to ensure financial data structures support forecasting and P&amp;L reporting needs</li><li>
Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications</li><li>
Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
4+ years of experience in data engineering or analytics engineering</li><li>
Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation</li><li>
Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development</li><li>
Strong SQL skills including joins, window functions, and CTEs</li><li>
Python proficiency for pipeline scripting, API integrations, and light modeling</li><li>
Familiarity with statistical modeling and predictive analytics (regression, time series)</li><li>
Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations</li><li>
Proficiency with AI coding tools &mdash; daily use expected</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
NetSuite or ERP experience</li><li>
Daasity, Shopify/Amazon data</li><li>
Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale),</li><li>
Omni/Looker, GitHub-based workflows</li></ul><h2 class="jobSectionHeader">
Workplace Arrangement</h2>
This role is on-site (5x week in office) based in Calabasas, CA.<h2 class="jobSectionHeader">
Compensation and Benefits</h2><h3 class="jobSectionHeader">
Compensation</h3><ul><li>
Competitive Salary + bonus</li></ul><h3 class="jobSectionHeader">
Time Off</h3><ul><li>
Unlimited PTO and sick time</li></ul><h3 class="jobSectionHeader">
Health &amp; Wellness</h3><ul><li>
Company-paid medical, dental, and vision insurance</li><li>
$100/month Health &amp; Wellness stipend</li><li>
Free Employee Assistance Program (EAP)</li></ul><h3 class="jobSectionHeader">
Work &amp; Growth Support</h3><ul><li>
$100/month Personal Workspace/Office stipend</li></ul><h3 class="jobSectionHeader">
Perks</h3><ul><li>
$1,000/year True Classic merchandise allowance</li><li>
401(k) plan with 3% company match</li></ul></div>

Data & Analytics Engineer

Pretium Packaging

<div>Grow boldly with Pretium and be a data and automation innovator!

About Us: Pretium Packaging, founded in 1992, is a leading supplier of injection-blow molded plastic containers, known for delivering superior quality, value, and customer service. With 20 manufacturing locations across North America, we provide innovative, high-performance packaging solutions to a diverse portfolio of brand owners in the U.S. and Canada.

We are looking for an Analytics Data Engineer to design, build, and maintain the curated data products that power reporting, analytics, and strategic decision-making across the organization. This role is responsible for transforming raw and operational data into trusted, business-ready datasets, semantic models, and analytical assets that enable self-service analytics and enterprise reporting. 
 
The Analytics Data Engineer owns the Silver, Gold, and Semantic layers of the analytics platform and serves as the bridge between foundational data engineering and business intelligence. Working closely with Data Engineers, BI Developers, Strategic Insights Analysts, and business stakeholders, this role ensures that data is governed, consistent, scalable, and aligned with business definitions and reporting requirements.

Remote location. 15% travel

What you&rsquo;ll own:
<ul>
<li>Analytics Engineering</li>
<li>Data Quality and Governance</li>
<li>Analytics Platform Support</li>
</ul>
What you&rsquo;ll bring:
<ul>
<li>5+ years of experience in analytics engineering, data engineering, business intelligence, or related disciplines.</li>
<li>Advanced SQL and data modeling expertise.</li>
<li>Oracle and IQMS a plus.</li>
<li>Experience designing dimensional models, semantic models, and analytical data products.</li>
<li>Strong understanding of medallion architecture concepts (Bronze, Silver, Gold).</li>
<li>Experience building and maintaining enterprise reporting datasets.</li>
<li>Ability to translate business requirements into scalable technical solutions.</li>
<li>Experience working with cross-functional business and analytics teams.</li>
<li>Strong communication, documentation, and problem-solving skills.</li>
</ul>
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

Sr Analytics Data Engineer

Wipro

Job Title: Data Analytics L1(CONTRACT)
 City: Santa Clara
 State/Province: California
 Posting Start Date: 7/30/26
 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.
 
Role Purpose
 The purpose of this role is to Data Analytic and design of the system by defining the various functionalities, architecture, layout and implementation for a client
 
͏
 
Key skills are : 
Data & Analytics Technologies
 
SQL – Advanced querying, data extraction, analysis.
 Python – Data processing, analytics, scripting.
 
Data Visualization
 
Power BI – Dashboard creation, interactive reports.
 Tableau – Data visualization and analytics dashboards.
 
Cloud & Data Platforms
 
AWS
 Azure
 Databricks
 
Familiarity with modern data platforms: 
Data lakes
 Data warehouses
 Snowflake, Redshift
 
Data Engineering & Quality
 
Understanding of: Data models, Data pipelines, Data mappings
 
Data quality concepts: - Completeness, accuracy, consistency, timeliness
 
Ability to define validation rules, KPIs, and reconciliation logic.
 
Manufacturing & Operations Data Systems
 
Knowledge of: Manufacturing Execution Systems (MES), Test data systems, Supply chain systems, working with manufacturing event data, test logs, build data, quality metrics.
 Competencies
 Client Centricity
 Passion for Results
 Execution Excellence
 Collaborative Working
 Learning Agility
 Problem Solving & Decision Making
 Effective communication
 Mandatory Skills: VLSI Board Design .
 
Experience: 5-8 Years .
 
The expected compensation for this role ranges from $60,000 to $148,500 .
 
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.

Data Analytics L1(CONTRACT)

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