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Data Analyst

Location:
Minneapolis, MN
Company:
CapGemini

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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 Data Analyst will engage in oversight into business
conditions derived from unified data analysis by way of standardization of
business vocabularies and data dictionaries across data sources.


-
Identify data-related business problems, pain
points, and root cause(s)


-
Organize and lead sessions to collect
requirements and develop the scope


-
Build business case based on input from
stakeholders/process owners; workflows/data models; suggested solutions; and
business requirements


-
Document data models, data flows, and business
processes


-
Analyze business requirements and identify data
elements and functionality to support them.


-
Draft initial/suggested solutions and designs;
including KPIs and monitoring.


-
Understand data profiling techniques and be able
to expertly operate any and all data profiling tools that Client may use or
acquire, e.g. SQL queries, DataFlux, Informatica Data Explorer, etc.


-
Define data quality rules and boundary
conditions for master data.


-
Work with Data Owners for refinement and
acceptance.


-
Codify data quality rules into applications and
data quality or other rules engines


-
Define, establish, develop/implement and monitor
data quality indicators


-
Define and develop notification policies for out
of bounds quality conditions.


-
Ensure standardized business vocabularies and
data dictionaries across data sources


-
Finalize solutions and designs and activities
and effort for implementation.


-
Facilitate resolution of out of bounds quality
conditions to ensure data quality


-
Escalate and resolve data quality issues


-
Create and execute Dataset Management Plans for
master data elements



Data Analysts must have an understanding of MDM and DQM, and
LOB processes. These liaisons work with
business data owners to ensure that data quality is defined, maintained to that
-Quality Level Agreement- and improved over time. Data Analysts must have the experience and
training necessary to have gained the following skills and competencies:


-
Business and system analysis


-
Design fundamentals.


-
Working knowledge of project management / PLMP.


-
Knowledge of business processes.


-
Must be able to represent the Enterprise Data
Governance organization as a key subject matter expert and resource for Master
data management.


-
Ability to set up data governance practice to


-
Proactively respond business challenges


-
Exploit new opportunities and mitigate potential
risks


-
Enable automated review and analysis of data
landscape Extensive experience with data profiling concepts and tools such as:



- InformaticaData Explorer

- SQLServer SQL Profiler

- BusinessObjects Data Insight


-
Proven Experience with ETL and Business
Intelligence Reporting Tools such as:



- SQLServer Integration Services

- InformaticaPower Center

- OracleBI Enterprise Edition (nee Seibel Analytics)

- SQLServer Reporting Services


-
Extensive experience documenting Data Standards
including data domains, validation rules, data dependencies and source to target
mappings.


-
Ability to design reports for Data Analysis to



- Discoverunder-utilized Objects

- Discovermisuse of Data Definition

- Discoverviolation of business rules defined


-
Knowledge of Enterprise Application integration,
whether SOA, EAI or EII.


-
High level understanding of XML schema and
database structures, theories, principles and practices and development
methodologies (e.g. RUP, UML).


-
Working knowledge of SOA frameworks, including:



- Canonicalstructures/XML schemas

- Serviceand method definition

- Serviceregistries and buses

- Businessprocess orchestration


-
Knowledge of Data Migration Tools such as:



- InformaticaPower Center

- SQLServer Integration Services


-
Knowledge of Structured Query Language (SQL).


-
Microsoft Excel knowledge to include pivot
tables, graphs and presentation layers.


-
Experience designing end to end maintenance and
storage strategies for corporate reference data.


The benefits our employees enjoy:



- 401(k) Savings Plan- Matched150% up to 6%. (Our 401k is in the top 1% of 401(k) plans offered in theUS!)

- Medical/Prescription/Dental/VisionCoverage- Employees pay no premiums!

- Bonus Program that pays up to$20,000!
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.

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