Senior IT Data Analyst

1 week ago

Richmond, Virginia, United States Smithfield Foods Full time
A great job-and a great future-awaits you at Smithfield Foods. We're an $18 billion U.S. food company with nearly 60,000 employees worldwide. We're looking for motivated people who want to join our team and grow lasting and meaningful careers with us. Join our family today. Apply Now

Our team members receive industry-competitive salaries and are eligible for great benefits packages:

Competitive Pay:
$ 78, ,500.00 annually
Annual Bonus Earning Potential
Comprehensive Health Insurance, Retirement Benefits and More
Education benefit available to full and part time Smithfield team members on their first day of employment.

In addition, we offer opportunities for career growth, professional development, and tuition assistance.

Your Opportunity


Are you an Information Technology professional looking for a fast-paced, challenging and transformational environment, where you can make a difference? Smithfield Foods, one of the country's top consumer packaged goods companies, is looking for you Our Information Technology and Transformation (IT&T) team seeks focused and driven candidates who are excited about communicating new ideas and delivering first-class technical solutions to meet the demands of a growing business.

We foster a culture that values everyone's creativity, our environment and the communities in which we live.

The Sr.

Analyst - IT Data Specialist is deeply involved in the development and delivery of analytics at both the front end and back end of the process.

At the front end, the successful candidate will work closely with stakeholders to identify candidate data sources. Once these sources are identified, the Sr.

Analyst will conduct data profiling exercises to assess the quality/suitability of data sources, and to identify data issues that will need to be addressed by the data engineering pipeline.

Based on an understanding of the desired end result, the Sr. Analyst will work closely with Data Architects to develop logical data maps to translate source data into target formats. The Sr.

Analyst will be deeply involved, along with the Architects, in preparing the data for the Data Engineering team to translate the logical mappings into operational data pipelines.

On the back end, the Sr. Analyst will work closely with data consumers to validate accuracy and suitability of curated analytical data stores.

A deep understanding of the data structure within source systems and nuances in how source systems process data is critical for this role.

Developing this understanding requires a willingness to "dig in" and learn the details of source data.

This role is also responsible for maintaining data discovery and data catalog tools to make enterprise data resources easier to discover and explore.

Individuals filling this role will have a strong understanding of data analysis, metadata management and the ability to harmonize data across business segments.

Strong analytical skills are needed in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources.

Core Responsibilities


Investigate new data sources and document the methods available to capture the data – sources can include, but are not limited to, internal systems, purchased data, open source data, SaaS applications.

Perform data profiling and data cleansing to assess the quality/suitability of new analytics data sources.
Create and maintain Logical Data Maps translating source data into target formats.
Facilitate creation of service accounts needed to allow data engineering tools to access new data sources.
Guide Dashboard/Report developers and other data consumers in locating suitable data sources for various analytics efforts.

Serve as a Subject Matter Expert in the usage of enterprise analytics data assets, guiding consumers in how to access, interpret and best use data assets.

Collaborate with other Data Specialists to help to ensure consistent usage of data assets across business functions, and eliminate duplication of data assets.

Develop mapping rules to harmonize similar data across multiple business segments, update metadata repositories, work with business experts to complete business glossary.

Work with Data Owners and Data Engineering to ensure the uniformity, accuracy, stewardship, semantic consistency of data assets.


The above statements are intended to describe the general nature and level of work being performed by people assigned to this job.

They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.

May perform other duties as assigned.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals to perform the essential functions .


Bachelor's Degree from a regionally accredited four year college or university in Business, Information Systems or related field and 5+ years of relevant experience; or equivalent combination of education and experience, required.

Experience harmonizing systems, processes, and/or data across business areas and functions.

Experience working with functional departments and IT to ensure consistency, accuracy and control in the maintenance and use of data across products and systems.

Experience in one or more of these areas – Python (Pandas/Numpy), PowerBI, Tableau, SQL, Pandas DataFrames, Alteryx
Experience with Data Quality tools and practices.
Process and procedure oriented with attention to detail.
Ability to communicate technical concepts and business requirements in plain language.
Ability to recognize and analyze data patterns and discrepancies.
Experience working with reporting and analytics tools.
Ability to regularly learn and adopt new technology.
Exceptional analytic and problem-solving skillset with a strong curiosity for data discovery.
Experience building data catalogs, business glossaries and metadata management.
Experience with cloud-based analytics platforms on AWS and/or Microsoft Azure a plus.
Ability to work well with others in fast paced, dynamic environment.
Ability to be respectful, approachable and team oriented while building strong working relationships and a positive work environment.

EEO/AA Information

Smithfield is an equal opportunity employer committed to workplace diversity.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, gender identity, protected veterans status, status as a disabled individual or any other protected group status or non-job characteristic as directed by law.

If you are an individual with a disability and would like to request a reasonable accommodation for any part of the employment selection process, please call us at
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