Sogeti is a leading provider of professional technology services, specializing in Application Management, Infrastructure Management and High-Tech Engineering. Sogeti offers cutting-edge solutions around Testing, Business Intelligence, Mobility, Cloud and Security, combining world class methodologies and the global delivery model, Rightshore®. Sogeti brings together more than 20,000 professionals in 15 countries and is present in over 100 locations in Europe, the US and India. Sogeti is a wholly-owned subsidiary of Cap Gemini S.A., listed on the Paris Stock Exchange.
At Sogeti USA, we are committed to building a long and enduring relationship with our employees and to creating an environment that rewards and empowers. Our mission is to constantly exceed our employees' expectations in the same way that we strive to exceed our clients' expectations. We offer an environment that celebrates innovation and helps you to achieve a good balance between your professional and personal life. We strive to be an employer of choice!
What You-ll Do:
The Senior Data Analyst is a catalyst for driving Enterprise
Data & Analytics solutions. This person is accountable to ensure the
alignment of data requirements between business and technology teams by working
alongside business teams to understand business process and data flows. The
Senior Data Analyst documents results of data profiling to facilitate decision
making with executive and senior business data owners.
In this position, the Senior Data Analyst is hands-on in
developing and publishing analysis artifacts as well as is a mentor to other
analysts on the Enterprise Data & Analytics Team. The Senior Data Analyst
will contribute to or provide leadership oversight to data solutions in the
following three areas:
Implementing data quality management, including the
development of the data quality rules for critical data elements based on the
selected data quality dimensions and designing the data quality results
database, dashboard, integration with our business glossary, and the automation
of the process
Implementing enterprise data warehouse solutions,
including the analysis for source systems, source to target mapping, and
built-in data quality
Assist with Data Governance, including the data profiling
for source systems, critical data element identification, and business glossary
management
This exciting opportunity requires the best of your data
analysis, problem solving and collaboration skills. The Senior Data Analyst
will contribute to the development of cross-business unit data solutions that
are leveraged to improve our products and insights.
The ideal candidate has strong business and technical
analysis experience, a growth mindset, is outcome-focused, and fosters
teamwork.
Essential Functions:
Partner with the Data Product Manager, Data Architects,
and Data Engineering Manager to ensure data analysis is addressed in the
product development lifecycle.
Develop, implement, and support the processes and best
practices for data exploration, data profiling, data quality and data mapping.
Participate in data governance activities by partnering
with the Enterprise Data Stewards as required.
Participate and contribute to the data issues resolution
process within our Data Governance function.
Develop and manage the data lineage, business rules (data
quality, cleansing, transformation rules, etc.), reference data, and mapping
documents across the enterprise in the Metadata Management Tool.
Apply data analysis skills to the data quality/data
governance process and/or to the data flows required to engineer the enterprise
data warehouse.
Prepare analysis findings and communicate to both business
and technical stakeholders.
Create data visualizations to explain data analysis
recommendations.
Minimum Qualifications:
Bachelor-s Degree in Engineering, MIS, or Data &
Analytics or equivalent experience.
5+ years- experience with data analysis specifically as it
relates to enterprise data management including data warehousing and source to
target mapping.
Strong experience with RDBMS and query language such as
T-SQL, PL/SQL, Spark SQL.
Strong experience using analytics tools such as SPSS, SAS,
Tableau, PowerBI.
Strong experience using data profiling/wrangling tools
(Example: IDQ (preferred), Alteryx, Paxata, Trifacta, Tamlr, etc.)
Strong experience using common file formats such as CSV,
TEXT, JSON, XML, XSD, etc.
Excellent problem solving and analytic skills
Excellent communication skills, both verbal and written,
and ability to work collaboratively within a team, business stakeholders and
executives
Preferred Qualifications:
Experience in Agile, SAFe, and/or Scrum.
Experience working in a data governance function.
Experience integrating with data quality, data catalog and
data lineage tools is a plus.
Certifications within Azure such as Azure Fundamentals,
Azure Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer.
Banking or financial services industry experience or other
highly regulated industry experience.
Experience integrating and using data science or
statistical solutions.
Minimum Education Qualification:
Bachelor's Degree in Computer Science, Computer Engineering, MIS or related field.
The Benefits Our Employees Enjoy:
401(k) Savings Plan- Matched 150% up to 6%. Our 401k is in the top 1% of 401(k) plans offered in the US!
Medical/Prescription/Dental/Vision Coverage!
Low-premium and deductible. Plan with free preventive care.
$12,000 in Tuition Reimbursement
100% Company-paid mobile phone plan
Personal Time Off (PTO)- Ensuring a balance of work and home life
Sogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.