Business Analyst/Enterprise Data Management

Techstra is seeking an experienced Business Analyst specializing in Enterprise Data Management with a minimum of 7 years of experience serving as a critical bridge between business stakeholders and technical teams, focusing on optimizing data assets across the organization. This role translates business requirements into data solutions, ensuring that enterprise data is properly managed, governed, and leveraged for business value.  

From the day you join, you will hit the ground running surrounded by amazing people. Here is a look of some of the expectations and responsibilities for this position:  

Position Summary 

The Enterprise Data Management Business Analyst serves as a critical bridge between business stakeholders and technical teams, focusing on optimizing data assets across the organization. This role translates business requirements into data solutions, ensuring that enterprise data is properly managed, governed, and leveraged for business value. 

Responsibilities 

• Capture and translate requirements into data specifications and analysis plans 

• Excellent business requirements gathering and documentation abilities  

• Experience with data warehouse design and frameworks 

• Understand principles of data architecture 

• Strong proficiency in SQL and data manipulation 

• Requirement solicitation for structure, tooling, volume, maturity, risk, and operations. 

• Analyze current business processes and data workflows to identify opportunities for improvement 

• Gather and document detailed requirements from stakeholders regarding data management needs 

• Assist in defining data models, mappings, and metadata repositories 

• Create and maintain documentation for data lineage, business glossaries, and data dictionaries 

• Support data governance initiatives by helping define and implement data policies and standards 

• Prepare detailed reports and presentations on data management issues and solutions 

• Facilitate communication between technical teams and business units 

Required Qualifications 

• Bachelor's degree in business, Information Systems, Computer Science, or related field 

• 7+ years of experience in business analysis, preferably in data-intensive environments 

• Strong understanding of data management concepts including data modeling, ETL processes, and data governance 

• Experience with requirements gathering and documentation techniques 

• Proficiency with SQL and data analysis tools 

• Excellent communication and presentation skills 

• Demonstrated ability to translate complex technical concepts for non-technical audiences 

Preferred Qualifications 

• Certifications in business analysis (CBAP, PMI-PBA) or data management (CDMP) 

• Experience with DCAM 

• Knowledge of industry data standards and regulations (Basel, GDPR, etc.) 

• Knowledge of data frameworks such as Inmon, Kimball, and Zachman 

• Familiarity with data quality and master data management tools especially Collibra 

• Experience in banking/finance domains 

• Understanding of big data technologies and cloud-based data platforms 

Location: This position is in Lake Mary, Florida 

At Techstra Solutions, we help top companies and brands achieve the business value of Digital and Talent Transformation. We believe there are three components in successful business transformation: Business Strategy, Technology and Talent. It is the coming together of these three disciplines that enables companies to take full advantage of opportunities. It differentiates us. Our approach is holistic and all encompassing. We consider the full picture as we guide our clients on this journey.  

We are experts in transformation, business strategy, technology, innovation, and human capital management. We deliver our expertise through client consulting, innovative staffing solutions and software development. From strategy through implementation, we are dedicated to bringing our clients world-class business and talent solutions that fit strategic requirements and most importantly, deliver results.