Senior Data Solutions Consultant

Company Description The Klick Group—comprising Klick Health (including Klick Katalyst and btwelve), Klick Media Group, Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Ventures—is an ecosystem dedicated to realizing the full potential of our people and clients in life sciences. Founded in 1997, we have offices in New York, Philadelphia, Saratoga Springs, Toronto, London, São Paulo, and Singapore. Consistently named a Best Managed Company, Most Admired Corporate Culture, and Great Place to Work, Klick is committed to fostering a high-performance, people-first culture with creativity, collaboration, innovation, and impact across everything we do. About Our Omnichannel Enablement Craft Our Omnichannel Enablement Craft connects channels, data, and technology into unified experiences. The team ensures audiences encounter consistent, coordinated messaging across touchpoints. By aligning media and platforms, they support seamless journeys. Their work enhances effectiveness and measurement across the ecosystem. Job Description The Senior Data Solutions Consultant partners with cross-functional teams to design, build, and optimize scalable data solutions that support omnichannel marketing, analytics, and AI-enabled products for life sciences clients. This role collaborates closely with analytics, engineering, project management, and client stakeholders to transform complex datasets into reliable, production-ready data assets that drive measurable business outcomes. Success in this role requires expertise in Python, SQL, ETL development, enterprise data platforms, and modern business intelligence technologies. What You'll Do Design, develop, and optimize scalable ETL pipelines using Python and SQL to support analytics, reporting, AI solutions, and client deliverables. Develop, maintain, and optimize enterprise data warehouse solutions, preferably in Snowflake, while ensuring data quality, reliability, scalability, and performance. Collaborate with data analysts, project managers, business analysts, and client stakeholders to gather technical requirements, define solution architecture, and deliver measurable business outcomes. Build analytics products including business intelligence dashboards, system integrations, data outputs, presentations, and AI-enabled solutions using platforms such as Power BI, Microsoft Fabric, and Tableau. Standardize and improve engineering practices through reusable code, Git version control, documentation, SOP development, and scalable data engineering processes that support operational excellence. Qualifications Required: 4–5 years of hands-on experience developing scalable data solutions, including at least 2 years designing and supporting ETL pipelines for analytics and reporting. 2+ years of professional experience using Python and SQL to build, optimize, and maintain production-ready data pipelines and data models. Experience working with clickstream datasets, enterprise data lakes, and modern cloud data warehouse platforms, preferably Snowflake, supporting analytics or marketing use cases. Experience gathering technical requirements from business stakeholders and clients, translating business needs into production-ready data solutions and measurable deliverables. Experience developing business intelligence solutions using Power BI, Microsoft Fabric, Tableau, or comparable visualization platforms, with examples of dashboards or reporting solutions delivered. Desired: Comfort and enthusiasm for using AI as a regular part of how work gets done. Experience supporting healthcare, pharmaceutical, or life sciences data, analytics, or omnichannel marketing initiatives. Experience designing relational database structures, dimensional models, and enterprise data architecture supporting scalable analytics platforms. Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related technical discipline. Experience implementing Git-based development workflows, documentation standards, and reusable engineering practices across collaborative technical teams. Additional Information This posting is for an existing vacancy at Klick. The base salary range for this position is between CAD $90,000 - $105,000. The final amount offered will be determined based on several factors such as a candidate's work location, their unique skill set, education, and prior work experience. #LI-TH1 #LI-Hybrid Our Commitment to Inclusion Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of color, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. We're also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at [email protected] and we will work with you to meet your accessibility needs and ensure you have a positive experience.

Design, develop, and optimize scalable ETL pipelines and enterprise data warehouse solutions to support omnichannel marketing and AI-enabled products. Collaborate with cross-functional teams to translate business requirements into production-ready data assets and analytics dashboards.

Requires 4-5 years of experience in data solutions, including at least 2 years of hands-on work with Python, SQL, and ETL pipelines. Candidates should have experience with cloud data platforms like Snowflake and visualization tools such as Power BI or Tableau.

• Power BIPreferred
• SQLPreferred
• TableauPreferred
• GitPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• ETL Development
• Snowflake
• Data Warehousing
• Power BI
• Microsoft Fabric
• Tableau
• Data Modeling
• Git
• Business Intelligence
• Omnichannel Marketing
• Data Engineering
• Solution Architecture
• Cloud Data Platforms
• Business Intelligence (BI) Solutions
• Data Lakes
• Omni-Channel Marketing
• Business Intelligence Dashboards
• Pipelines
• Workflow Management
• Reporting Solutions
• Git (Version Control System)
• Technical Requirements
• Snowflake (Data Warehouse)
• Artificial Intelligence
• Analytics
• Data Analysis
• Dashboard
• Software Documentation
• Version Control
• Computer Science
• Consulting
• Creativity
• Data Architecture
• Extract Transform Load (ETL)
• Data Quality
• Relational Databases
• Marketing
• Scalability
• Innovation
• Python (Programming Language)
• Life Sciences
• Project Management
• Operational Excellence
• Pharmaceuticals
• Presentations
• Software Engineering
• SQL (Programming Language)
• Tableau (Business Intelligence Software)

• Data & Analytics
• Technology
• Software
• Consulting
• Marketing
• Data Solutions Consultant
• Business Intelligence Developer / Architect
• Software Developers

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week