Lead Data Analyst - EAD or GC or USC ONLY at USM Business Systems – Dublin | Jobyssey

Lead Data Analyst - EAD or GC or USC ONLY

Dublin, OH

Top Three Skills:

1. Data profiling
2. Source to target Mapping
3. Data Modeling- Logical, Physical, Conceptual
4. Data visualization
5. SQL experience is also very important- We will be trying to use a tool called Informatica Data Quality to conduct data profiling. If for some reason we run into issues using this tool, we fall back to SQL.
6. LEADERSHIP and COMMUNICATION- This position is viewed as a Director-level role in the organization. Candidates need to be able to effectively and confidently describe and execute on Data Analysis/Modeling strategies for the program.

Job Description:

Position likely to be contract to perm.
A Lead data analyst performs a variety of tasks related to collecting, organizing and interpreting data. A data analyst will be responsible for inspecting, cleansing, transforming and modeling data. A data analyst wll have to deal with uncertainty about data information completeness and quality. A data analyst will play a dominant role in business intelligence, advanced analytics, data integration and master data management efforts and will be involved with traditional application development projects where necessary. Role accountabilities
A data analyst will have a natural inclination and passion toward problem solving in a disciplined process oriented fashion. A data analyst will
– Critically evaluates information gathered from multiple sources, reconciles conflicts, classifies the information in logical categories
– Uses different visualization techniques and present the results of data exploration exercises
– Understands the flow of data, business processes/technical interfaces that would be created or impacted
– Documents the source to target mappings for both data integration as well as web services (consumer/provider mappings) that can be easily understood by the project team members with data quality and transformation rules
– Identifies and documents sources of existing data as well as the new data. Understands use of master and reference data including sources and contributors.
– Collaborates with data scientists and business partners and conducts data profiling and predictive analysis using a variety of standard tools
– Creates conceptual, logical and physical data models and determines the most appropriate method to represent the data for business consumption. This includes all forms of physical representation of data, such as relational, dimensional, object, key-value (such as column families), and graph. Please note this list is not all inclusive.
– Have joint accountability with data stewards and data architects on the projects to ensure conformance to enterprise data governance policies around information risk and data protection guidelines. Data analysts should be familiar with common policies around data masking and protection schemes.
Recommended experiences

Data source identification, data profiling, interpretation of patterns and trends, assessment of and improvement of data quality, versatility with visualization tools and techniques to share analysis findings. It is beneficial for individuals to have worked as a data analyst in any of the following types of projects:

Analytically Intensive – Intended to draw/develop insights from data that is collected
Operationally Data Intensive – Intended to create authoritative data sources that are essential to core transactional processing
Data Integration Intensive – Requires the merging of many data types to satisfy business requirements

The Requirements Analyst translates business and system needs into Solution Requirements for Designers, Developers and Testers to consume and uses Requirements elicitation, analysis, specification, verification and management techniques for the purpose. Requirements Analysts are engaged in work efforts at all scales ranging from minor defect fixes and enhancements to development of new applications. They are also involved in all types of solution approaches (custom development, package implementation etc.) and solution domains (business applications, data warehouses, web services, infrastructure etc.)
Contributes overall strategic vision of the organization and integrates a broad range of ideas and initiatives regarding IT Analysis. Serves as the top level technical contributor and lead for the most complex IT analysis initiatives. Recognized across the organization for IT analysis expertise. Undertakes the most complex IT analysis issues on projects involving high risk to the organization or that have an impact to multiple business units. Formulates and defines systems scope and objectives through research and fact-finding combined with an understanding of applicable business systems and industry requirements. With expert knowledge, develops or modifies the most complex information systems. Includes analysis of business and user needs, documenting requirements, and revising existing system log difficulties as necessary. Guides and advises less-experienced analysts . Consults on the development and implementation of IT analysis initiatives to ensure that information systems products and services meet organization standards.

Additional Information:

Work Environment:

Large corporate IT environment. Will work in Plaza 3, one of Nationwide's buildings downtown in Columbus, Ohio.
The specific work environment consists of agile development style, with a very collaborative team.

Interview Information:

2-step; can both be phone, skype or in-person depending on location.

Who is the Internal/External Customer:

All employees associated directly and indirectly to Tier 1 or Tier 2 programs (Large scale Projects that typically span an entire Business Unit).
For these specific programs:
Momentum: Any customer that has a retirement plan from NW will be impacted by this major system change
Actuarial Modernization: This is to better support customers who purchase financial products from Nationwide Insurance.

Impact to the Internal/External Customer:

The DM&A group provides Data strategy, governance, oversight, and execution for major programs. This ensures that the areas that consume the data have accurate and reliable data to make better business decisions.

Business Challenge:

The Data Management and Analytics team is growing due to increased demand from top tier programs across all lines of business.

EVP:

Opportunity to work for a top 5 insurer in the US. Also, this team supports only major Tier 1 and Tier programs that are highly visible across the organization. The selected candidate will work with a wide array of cutting edge technologies related to MDM, Big Data, and Data Governance.

Non-Technical Skills:

Must be an excellent communicator and possess high-level leadership skills. These individuals are responsible for gaining rapport from the stakeholders and ultimately 'selling' solutions.

Why is position open?:

Additional programs are being added to DM&A's portfolio

Navya

navyar@usmsystems.com

703-953-1819

If you are interested in the below position please forward your profile to navyar@usmsystems(dot)com or call me on 703-953-1819.

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