Sr. Data Analyst

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 www.ltimindtree.com.

Role: Sr. Data Analyst

Location: Johnston, RI

Job Description:

The Data Analyst is adept at working with business and systems partners to turn project requirements into technical specifications to build custom formatted fit for purpose reports data sets data services and data interfaces The candidate applies a strong knowledge of lifecycle data generation to be able to outline critical information analyse business procedures and recommend specific types of data than can be used to improve them

Primary responsibilities include

Using stakeholder knowledge and other available resources to research to facilitate discovery and to analyze and evaluate options for data solutions Provide recommendations to team and project leads

Understanding of Business requirement and Documenting it

Produce consistent accurate and complete data requirements and definitions for complex projects

Develop current state process maps and identify digitization opportunities with data analytics and Master data management solutions

Work with business users and others to understand their business functions and processes in order to help them define business intelligence analytic and reporting requirements Assist in crafting data and metadata requirements for systems that are complete and unambiguous

Use statistical methods to analyze data and generate useful data sets and reports

Work with management team and other leads to prioritize needs for business segments

Identify and recommend new innovative ways to streamline datacentric processes

Use data to create models that depict trends in the customer base or the consumer population or within a specified segment or business processing area

Work with departmental managers and business stake holders to outline data needs for analytical reporting and data integration projects

Define and manage test data sets for integration testing problem analysis business and technical analysis

Qualifications

Required Skills Experience

Solid understanding of consumer banking financial products and business processes

Experience doing data discovery and analysis work with one or more commonly used business intelligence tools such as Tableau SAS Oracle Microsoft etc

Experience working with various operating systems Windows Unix Linux and database management systems Redshift Oracle MSSQL etc

Ability to collaborate effectively take initiative and work as part of a team

Strong attention to detail

Desirable Skills Experience

Data exploration experience using both SQL and not only SQL tools and techniques

Data design or data management experience is a plus

Experience with Agile process is preferred

Experience in the financial services industry especially banking

Educational Certifications and or Other Professional Credentials

Required

Either 7 years of experience as described above a Bachelor’s Degree in Business finance Mathematics Statistics or Computer science

Or 5 years of experience as described above a Master’s Degree in those disciplines

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.