Technical Data Analyst at Morgan White Group
Ridgeland, MS 39157, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Sep, 25

Salary

0.0

Posted On

08 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Decision Making, Transformation, Models, Power Bi, Leadership, Linq, Disabilities, Validation, Business Requirements, Looker, Data Governance, Flow Diagrams, Data Solutions, Milestones, Collaboration, Developers, Technical Documentation, Security, Sql, Data Extraction

Industry

Information Technology/IT

Description

The Technical Data Analyst reports to the VP of Software Development and Senior Project Manager. The position is located at 500 Steed Road, Ridgeland MS 39157.

EXPERIENCE AND EDUCATION REQUIREMENTS:

The ideal candidate for this position would have the following required experience as follows:

  • Bachelor’s degree in a Computer Programming or related field or equivalent work experience.
  • Proficient in analyzing business requirements and translating them into technical specifications.
  • Ability to translate business needs into data solutions.
  • Collaborate effectively with technical and non-technical teams.
  • Ability to create technical and non-technical documentation.
  • Experience with system modeling, data flow diagrams, and use case analysis.
  • Experience in working with various stakeholders, including business users, developers, and management.
  • Strong interpersonal skills to facilitate effective communication and collaboration.
  • Ability to present technical information to non-technical stakeholders in a clear and concise manner.
  • Experience in managing or coordinating technical projects.
  • Ability to adapt to changing technologies and evolving business needs.
  • Proven ability to work effectively in a team-oriented environment.
  • Proficiency at writing SQL queries and validating SQL query results.
  • Must understand HIPAA rules that apply to dealing with sensitive data.

The ideal candidate for this position would have the following preferred experience as follows:

  • 5+ years hands-on experience with transact languages such as SQL, linq, Python, or similar.).
  • Knowledge of Data visualization tools: Power BI, Tableau, Looker, etc.
  • Ability to analyze large datasets to derive insights and support decision-making.

JOB ESSENTIAL REQUIREMENTS:

The following are job functions that an employee must be capable of performing with or without reasonable accommodation.

  • Must be able to read, write, and speak English; Spanish is a plus.
  • Must have basic typing skills
  • Must be able to work as scheduled.
  • Must possess sight and hearing senses or use prosthetics that will enable these senses to function adequately so that the requirements of the position as stated above can be fully met.
  • Must be able to bend, stretch, reach, and sit or stand at a desk during 85% of the workday.
  • Must be able to lift, stoop, and carry small equipment items and supplies, possibly weighing up to 20lbs.

JOB REQUIREMENT ACKNOWLEDGEMENT:

I understand this job description and its requirements. I accept the position and agree to abide by these requirements. I will perform all functions to the best of my abilities. I understand the job functions may be altered by management without notice and that I am an at-will employee

Responsibilities

The Technical Data Analyst will work under the supervision of the Programming Department VP of Software Development and Senior Project Manager. This is a mid-level role. Assigned work will help to broaden the Technical Data Analyst experience and system analyst skills. To perform the job successfully, the employee must be able to perform each essential duty satisfactorily. The requirements listed here are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Collaborate with stakeholders, project managers, and business analysts to gather data requirements and define analytical objectives.
  • Design data solutions and workflows based on requirements, including data pipelines, models, and reporting structures.
  • Provide input on strategic data planning, including data governance, quality, and roadmap development.
  • Develop automated data processes to streamline data collection, transformation, and reporting.
  • Ensure data integrity, accuracy, and security across data systems and analytics platforms.
  • Create detailed documentation including data dictionaries, data flow diagrams, and ETL mappings.
  • Communicate progress, insights, risks, and issues related to data initiatives with stakeholders and leadership.
  • Coordinate data extraction, transformation, and loading (ETL) activities from various sources into target systems or data warehouses.
  • Evaluate and mitigate risks associated with data quality, privacy, and compliance.
  • Manage timelines and delivery of data projects, ensuring milestones are met.
  • Implement best practices in data architecture, governance, and analytics.
  • Troubleshoot and resolve data-related issues during development and production.
  • Collaborate with development teams to integrate data sources and optimize data infrastructure.
  • Partner with cross-functional teams to align data solutions with business goals and KPIs.
  • Work with developers to ensure accuracy and performance in implemented data solutions.
  • Facilitate data discovery workshops and analysis sessions with business users.
  • Provide ongoing support for data platforms, dashboards, and reports, including root cause analysis.
  • Monitor data pipeline performance and recommend improvements or scalability options.
  • Provide advanced analytical support for complex data inquiries and predictive modeling efforts.
  • Participate in data governance and compliance efforts, including audits and data retention policies.
  • Create and deliver data-driven presentations, visualizations, and dashboards to stakeholders and executives.
  • Coordinate with QA teams to ensure validation and accuracy of data across systems.
  • Deliver training and support for business users on reporting tools and data interpretation.
  • Mentor junior data team members on technical skills and best practices in data analysis.
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