Partner with Finance and cross-functional teams to design, build, and maintain BI solutions. Develop and optimize SQL queries, Snowflake-based solutions, SSAS/Fabric semantic models, ETL pipelines, and financial reports. Ensure data governance, integrity, and performance; provide end-user support and training; and participate in system maintenance, upgrades, and integrations.
Service Center
CSCS TXEssential Job Duties:
- Act as a business intelligence partner for the Finance Department and support projects and change management initiatives across key project owners (IT, Finance, Operations, Human Resources, Marketing, etc.).
- Design, develop, and optimize SQL queries, data models, and Snowflake-based solutions to support business intelligence initiatives.
- Assist in designing, implementing, and maintaining complex BI solutions, including data models in Microsoft SSAS, Microsoft Fabric semantic Models, Excel Power Pivot, and Snowflake.
- Create and maintain reporting tools, troubleshoot improvement opportunities, and process change requests as needed.
- Develop and maintain ETL processes to support data integration and transformation needs across the organization.
- Manage financial tools, financial reporting, and data analytics systems while ensuring governance, security, consistency, integrity, and accuracy of all end-user data.
- Provide ongoing support and training to end-users, ensuring effective utilization of data tools and resources.
- Participate in system maintenance, upgrades, and integration projects, ensuring minimal disruption to business operations.
Education, Experience, and Skills for Success:
- Bachelor’s degree in computer science, Information Systems, Data Analytics, or a related field; or equivalent work experience.
- Master’s degree in computer science, MSBA, MBA, MIS, or PhD is a plus.
- 2+ years of experience in data analysis, with a strong focus on SQL, Data Modeling, and Snowflake.
- Proficiency in systems and methodologies for accessing and utilizing underlying data, including database implementation and normalization, data warehousing, ETL processes, data analytics, and data modeling.
- Knowledge of database objects (tables, views, indexes, etc.), and experience in implementing and optimizing queries, stored procedures, and functions to meet performance objectives and business use cases.
- Experience with DAX / data modeling with SSAS Tabular, Microsoft Fabric semantic models and/or database design.
- Expertise in ETL tools such as SSIS, Informatica, and ADF, and expertise in cloud-based data platforms such as Snowflake and Microsoft Fabric is a plus.
- Understanding Finance, Operations methodologies, concepts, principles, and modeling is a plus.
- Willingness to collaborate closely with teammates and all management levels.
- High standards of accuracy, precision, and organization.
- Strong verbal and written communication skills.
- Creative thinker, highly driven, and self-motivated.
- Comfortable in a high-growth and strong customer service environment.
- Minimal travel required (< 10%).
Caliber uses E-Verify to confirm the identity and employment eligibility of all new hires.
Must be eligible to work in the U.S. with no restrictions.
Similar Jobs
Insurance • Logistics • Software • Transportation • Business Intelligence
Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.
Top Skills:
Ai Coding AssistantsAtlanEtl ToolsLlm-Based ToolsLookerModern Data StackNoSQLOpenmetadataPower BIPythonRedashSnowflakeSQL
Information Technology
Serve as liaison between business stakeholders and technology to elicit requirements, evaluate solutions, and drive delivery of BI and data initiatives. Model and map processes, write SQL, support integration mapping, manage ADO/Agile product ownership, create technical documentation, and use BI tools (Power BI, Qlik, MicroStrategy). Ensure data governance, metadata management, and payments domain alignment while managing multiple projects and stakeholders.
Top Skills:
AgileAzure Devops (Ado)Data ArchitectureData GovernanceKanbanMachine LearningMetadata ManagementMicrostrategyOneplanPower BIQlikSQL
Aerospace
Develop, maintain, and optimize Power BI dashboards and data models to support revenue forecasting, capacity planning, sales and operational analytics. Ensure data accuracy and quality, enable new analytics use cases, liaise with IT/data warehouse teams, and deliver reports, documentation, and presentations to support decision-making.
Top Skills:
Ai ModelsExcelLookerPower BISQLTableau
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
