• Develop, maintain, and enhance Power BI dashboards and reports to support business decision-making. • Extract, clean, and transform data from ERP systems and other sources for reporting and analysis. • Rebuild and stabilise reporting processes to improve reliability, accuracy, and continuity. • Identify and resolve data inconsistencies while ensuring data integrity across reporting outputs. • Collaborate with leadership and operational teams to deliver commercially meaningful insights and reporting solutions. • Support data migration, cloud transition initiatives, and improvements to data pipelines and structures. • Assist with ad hoc reporting, pricing analysis, data governance, and ongoing business intelligence initiatives.

• Support data analysis and reporting for sales, pipeline, and revenue‑related use cases • Assist in building and maintaining BI reports and dashboards (e.g., sales performance, KPIs, trends) • Help with data validation, data quality checks, and basic data preparation across multiple sales data sources • Document metrics, definitions, and analytics logic to support clarity and reuse • Collaborate with the RevOps Sales Intelligence team to understand how analytics informs business decisions

Senior Data Analyst Apply locations Remote time type Full time job requisition id JR1613 Connexus Credit Union - Who We Are: Serving members across all 50 states, Connexus Credit Union is a member-focused cooperative that is proud to return profits to member-owners through high yields for checking accounts and deposit products, as well as competitive rates on our loans. We are a remote first employer with the majority of our employees residing in the upper Midwest. As an employer we foster collaboration and high performance to achieve excellence. We holistically care for and develop our employees to thrive personally and professionally. We are proud to share our success with our employees and those we serve. Connexus offers an Amazing Benefits package: - 25 days of paid time off and 10 paid holidays - 16 hours of paid Volunteer Time Off - 401K Retirement with up to 6% employer match - Excellent Health, Dental, Vision insurance, including multiple plan options - Health Savings Account with generous employer contributions - Employer paid Life insurance, Short-Term and Long-Term Disability - Tuition Reimbursement from $4,000 - $7,000 per calendar year - Robust Learning and Development program that includes an annual professional development stipend About the Role: We are searching for a Senior Data Analyst to join our Data & Insights team as a strategic partner to the business. This role delivers high‑impact analytics solutions-including dashboards, KPIs, advanced analysis, and automation-to turn complex data into clear, actionable insights. You’ll collaborate closely with stakeholders, work with large and complex datasets, communicate findings to both technical and non‑technical audiences, and support the growth and development of junior analysts. Responsibilities: - Serves as a strategic analytics partner to leadership by translating business priorities into advanced analytical initiatives and solutions. - Designs, develops, and maintains enterprise-level KPIs, dashboards, reporting ecosystems, and analytical models that support long-term organizational goals. - Independently gathers, integrates, and prepares highly complex datasets from diverse internal and external sources, ensuring data quality, scalability, and consistency. - Conducts advanced analyses—including statistical modeling, segmentation, forecasting, and root-cause investigations—to deliver proactive and actionable insights. - Leads cross-functional discovery sessions to deeply understand business challenges and define analytical requirements, often identifying opportunities before they are requested. - Advises stakeholders on data governance, best practices for analytics, and secure data handling, improving organizational data literacy and adoption of analytic tools. - Acts as the Data & Insights representative on ePMO and strategic projects, ensuring timely, high-quality deliverables aligned with organizational priorities. - Drives enterprise automation and efficiency by creating reusable scripts, analytic frameworks, and automated workflows that streamline complex processes. - Serves as a technical and analytical mentor for Data Analysts and Associate Data Analysts, providing guidance on methodologies, quality assurance, and documentation. - Collaborates with data engineering and data science partners to enhance data pipelines, advise on architectural decisions, and support model development and deployment. - Delivers clear, compelling presentations that translate complex analytical findings into insights accessible to leadership and non-technical audiences. - Ensures full compliance with all Federal Regulations as they pertain to job duties, including BSA. Position Requirements: - This position is Remote. - Bachelor's degree or commensurate experience is Required. - 8+ years of Data Analysis experience is Required. - Prior experience working within Financial Services (such as Banking or Credit Unions) is Required. - Relationship management experience with financial lines of business & data visualization is Required. - Advanced proficiency in SQL, Excel, and Python, including experience with automation, performance tuning, and statistical libraries is Required. - Experience optimizing queries and workflows in centralized data warehouses (e.g., Snowflake, Data Bricks, etc.) is Required. - Experience creating polished dashboards and visualizations in Power BI is Required. - Microsoft Certified: Power BI Data Analyst Associate. Connexus Credit Union's Employer Recognitions: - 2026 Best Place to Work in IT, Computer World

Role Description The Data Centre of Excellence requires a resource to support the design and development of analytical data products & services to enable the GoA to better leverage its data assets and support implementation of the GoA Data Strategy. Working within a team, this resource is an expert, and plays a key role in ensuring high-quality data modeling, applying algorithms, de-identification, synthetic data creation, visualizations and development of evidence for use across ministries and with external stakeholders. This role will enact the pillars of the Data Strategy by using data to benefit Albertans. - Provides hands-on support, leadership, advice and direction on strategic data initiatives as part of the Data Strategy. - Coordinates with various internal and external clients to understand their analytics needs. - Anticipates, identifies and responds to diverse and complex data analytic requirements across GoA departments and from external organizations. - Works with Manager Analytics Capability Centre to: - Provide expertise and leadership in the design and competition of analytic projects. - Develop and share data models and products. - Provide continuous improvement of analytics capacities. - Design and support development of analytic service offerings. - Analyzes and organizes raw data for prescriptive and predictive modeling. - Enhances data quality and designs analytical tools to support data services. - Conducts complex data analysis and collaborates with data engineers and analysts on various projects. - Coaches and mentors team members, fostering a client-centric approach. - Works closely with senior management to support a cultural shift toward data as a strategic asset. - Creates and presents options, roadmaps, frameworks, models, and briefings for senior executives regarding analytics services. - Facilitates strategic conversations to develop shared understanding and generate options for decision-making. - Develops baseline and ongoing outcomes, key results, metrics, and other indicators. - Works as part of a team responsible for the generalizable extraction of knowledge from data. - Applies various techniques and methodologies including probability models, machine learning, computer programming, statistics, data engineering, pattern recognition, and data visualizations. - Requires a focus on understanding predictive analytics and needs-based analytics strategies. - Provides executives and decision makers a deeper understanding of their operations, transactions, services, and information. - Transforms GoA's data assets into meaningful analytics for decision making. - Brings knowledge of statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression. - Integrates both quantitative and qualitative data to create business insights. - Designs and creates dashboards and custom reporting with various data sources and inputs. - Analyzes data and prepares results. - Gathers and documents client requirements. - Captures business and technical metadata for analytical products. - Escalates issues and risks, as appropriate. - Works within a multi-vendor/staff environment. Deliverables - Specific deliverables and due dates will be determined by the client team in conjunction with project management. - Status reports - weekly and monthly. Qualifications - Experience in Data Analytics or as a Data Scientist. - Diverse range of analytical skills and experience in multi-faceted roles. Requirements - Focus on understanding predictive analytics and needs-based analytics strategies. - Ability to simplify, consistently produce, and re-use analytical models and assets. - Skills to provide insights and support decision-making. Benefits - Opportunity to work with a team of experts in data analytics. - Engagement in strategic initiatives that impact services to Albertans.