Senior Data Analyst - FME

Join us as we Rise to the Challenge

At KCI, we're building an enduring community that provides unparalleled value to our employee-owners. We make our mark designing and delivering our world-class solutions, so we invest deeply in supporting and developing our team. We reward integrity and commitment, and when we do well, you do well. Our employee's have the freedom to innovate, unlimited growth, a voice that matters, a lifestyle that works, and skin in the game. Achievements are shared and celebrated. As a team, we are motivated to better ourselves, each other, and the world around us.

THE COMPANY

KCI Technologies, Inc. is a 100% employee-owned engineering, consulting and construction firm serving clients throughout the United States. KCI is recognized as an industry leader, employing cutting-edge technologies, management practices and strategic growth initiatives. Employee ownership fosters an entrepreneurial spirit, encourages technical expertise, and shapes strategic planning.

KCI is currently ranked #56 on Engineering News-Record's list of the Top 500 design firms in the nation.

KCI BENEFITS INFORMATION

We offer a competitive compensation package, family friendly benefits, a collaborative working environment, and the training, mentoring and resources you need to advance in your career.

We understand that you have choices, and we know that together we will make a great team!

KCI is committed to building a diverse and inclusive staff, and we encourage women, people of color, LGBTQ+ individuals, and individuals with disabilities to apply.

KCI Technologies, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

As a Senior Data Analyst, you will:

Understand and contextualize business processes to develop analytics solutions that balance operational priorities and efficiency.
• Utilize analytic platforms and data governance strategies to create a seamless experience for users.
• Work closely with stakeholders to define key metrics, develop scalable dashboards, and effectively communicate progress.
• Identify and troubleshoot unanticipated complex data problems or unexpected results and provide solutions to resolve identified concerns.
• Perform modeling and analysis of structured and unstructured datasets to develop metrics, reports, visualizations of trends and patterns, and predictive analytics.
• Gather and confirm user requirements for various analytics projects.
• Develop and implement efficient data collection strategies.
• Perform required data cleaning and manipulation before analyses
• Automate the collection and analysis of large data sets from customer systems and third-party services.
• Lead end-to-end ETL processes, including requirements gathering, data acquisition, business process analysis, transformation, and integration across multiple domains and enterprise solutions.
• Leverage Safe Software FME and related tools to design, automate, and optimize workflows for data transformation, validation, and delivery.
• Design and implement scalable ETL solutions that integrate with and utilize APIs, Python scripts, and modern data management platforms.
• Interact with stakeholders to create and leverage business intelligence capabilities in support of business objectives.
• Recommend, deploy, and manage the implementation of business intelligence, data visualization, reporting tools, and dashboards based on available data and KPIs to drive decisions.
• Stay current on the latest technologies, data engineering approaches, and integration methods.
• Regularly interact and build relationships with senior management, customers, and business partners.
• Support development of proposals in response to Request for Proposals (RFPs).
• Support business development and marketing initiatives by meeting with customers and prospective customers, attending industry events, and giving presentations.
• Mentor data analysts and associate data analysts by developing, coaching, and growing team members through continuous learning.
• Supervise staff, as assigned.
• Provide performance feedback to staff and/or supervisors of staff.
• Comply with all KCI policies and procedures.
• Complete other duties as required/assigned.

Skills and Other:

• Knowledgeable of data analysis methods and techniques
• Experience with current data and analytics platforms and tools
• Experience with data extraction, Safe Software FME, Python, SQL, Power Query, APIs, and ETL/data engineering tools and query languages required.
• Proficiency with Esri cloud, desktop, web, and mobile product lines, with the ability to integrate spatial analysis into other platforms preferred.
• Strong problem-solving skills
• Demonstrated ability to leverage information into data-driven decisions for tactical and strategic support of client programs
• Motivated team player with demonstrated experience working constructively on multi-disciplinary teams
• Ability to work independently and produce high-quality deliverables without excessive oversight and instruction
• Strong organizational and time-management skills

Education, Skills and/or experiences required:

• Bachelor's degree in Computer Science, Data Science, Information Technology, Systems Engineering, Geography, Mathematics, Statistics, or related field is required. Experience may be substituted for degree.
• Minimum eight years of experience as a Data Analyst or similar role

Pre-employment drug screening is a condition of employment. Background and motor vehicle checks may be required based upon position.

Education, Skills and/or experiences preferred

• Master's Degree in Computer Science, Information Technology, Systems Engineering, Geography, Mathematics, Statistics, or related field is preferred
• Experience in a consulting role is strongly preferred
• Experience in utilities, facilities, transportation, water, and/or state/local government markets is strongly preferred