Data Management Analyst

Data Management AnalystData Management Analyst will be responsible for developing, analyzing, reviewing, maintaining Data Management solutions for electric utility business purposes as well as providing self-service support for business users including consulting and training. The Data Management Analyst will also work with business users and collaborate with peers, and other technology teams to deliver high-quality and innovative enterprise Data Management solutions. This role will provide first level support for the company's Data Management components. While maintaining an in-depth understanding of DM solutions and technologies, it is expected that you have a knowledge of additional disciplines in the information technology field. Data Management (IM) Solution Development, Maintenance and Production Support: Collaborate with other technology and business teams to ensure integrity, security, quality and availability of DM solution delivery.Comply with data management and data governance standards and software development standards as well as organization policies, department policies and industry regulations.Self-Service Support and Consulting:Provide statistical expertise, data analysis and DM solution design support to business partners.Be and advocate for DM and help business users to adapt to and utilize the modernized DM landscape.Prepare and conduct training and workshops on DM tools/concepts and data utilization like data catalogue for business partners.System Support and Maintenance: Engaged with all facets of System Life Cycle ManagementProvide production support for DM and data asset related issues.Support Data Governance.Ensure compliance with data management standards and software development standards as well as organization policies, department policies and industry regulations.Data ModelingResponsible for designing and implementing data modeling solutions to ensure that OPPD's data is properly structured and organized for analysis. Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning). Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Meta Data ManagementDevelop Metadata System: responsible for developing metadata system that can store and organize metadata. Manage and Maintain Metadata System monitor system performance, diagnose and troubleshoot issues, and make necessary changes to optimize system performance. Collaboration: work closely with cross-functional teams, including Data Management, DM analysts, and business stakeholders. Collaborate with these teams to ensure that the metadata system meets OPPD's requirements and can support our goals. Qualifications Required:

Bachelor's Degree in any of the following fields Computer Science, Computer Engineering, Information Systems, Mathematics/Statistics, Data Science, Business Analytics

A minimum of 3 years of experience in DM solution development with technical knowledge in the following disciplines: software engineering, data analysis, data visualization, data cleansing, meta data management, data quality management, database architecture, data integration, data processing and data warehousing

Experience in dealing with business partners; performing business requirements gathering, conducting DM solution support.

Experience in the deployment of enterprise data solutions.

Experience in data visualization.

Experience in relational databases and SQL standard languages T-SQL and PL/SQL

Experience with presenting DM solution overviews and recommendations

Experience in data integrity and data governance concepts

Familiarity with source control and code management

Strong analytical skills and attention to detail

Excellent customer service and interpersonal skills

Excellent technical and professional communication skills both verbally and in writing

Must be able to work independently and effectively collaborate with minimum supervision

Must possess exceptional organizational skills, creative problem solving skills, and flexibility in changing priorities

Desired:

Experience with analytical tools and concepts like R, Python, SAS, AI and Machine Learning

Experience with ETL tools like Informatica

Experience with data reporting/visualization tools like IBM Cognos, Tableau or Power BI.

Working experience in the electric power utility industry

Closing Statement

Level - S4

Foundation - $86,386

Maximum - $107,982

At Omaha Public Power District , we're passionate about three things: power, the people who make it, and the people who rely on it.

WE ARE: Where the Light Starts. OPPD is the 12th-largest public power utility in the U.S., serving over 850,000 people across 5,000 square miles and 13 counties.

WE¿RE COMMITTED TO: Each other and the people we serve. This commitment drives us. We're dedicated to providing our communities with affordable, reliable, and environmentally sensitive energy services today, tomorrow, and well into the future.

OUR JOB: To provide power with a purpose. We have real impact - on people's lives, on the environment, and on the future of energy. We're always looking for bright, capable people who want an opportunity to lead from where you are wherever you are and know that your ideas will be heard. If you want to be a source of real, positive change for the community and the people who live in this region, then working for a company acknowledged for caring about these same things is likely a priority for you as well.

Org Marketing Statement

EOE: Protected Veterans/DisabilityHow To Apply Apply online at www.oppd.com on or before August 12, 2024 Recruiter: Patique Collins - pncollins@oppd.com #LI-PC PLEASE NOTE - Your application has not been submitted unless you have applied for a specific requisition. If you have not chosen a specific opening, your application will remain in 'DRAFT' form and will not be viewed by our Human Capital staff.