Analyst, Analytics Delivery
4 months ago
**BCLC exists to generate win-wins for the greater good.**
**For our people, our players, our communities, our industry, and our planet.**
**Lottery | Casino | Sports**
Being a social purpose company, we are not only able to better align our business decisions with our purpose, but more importantly, we are committing to doing our part in creating a better world.
We bring our purpose to life by ensuring all our actions, behaviours and decisions create benefits for communities and the planet.
Motivated and guided by our social purpose, everything we do must benefit the greater good. And we encourage our employees, partners, players, industry and communities to engage with us on this ambition.
We want you to be where you feel you can do your best work. Most of our jobs can be done remotely providing you reside in BC.
For those who prefer working in a community with others, we have two beautiful offices in convenient locations:
2940 Virtual Way, Vancouver | 74 Seymour Street W, Kamloops
This is a Permanent, Full Time opportunity
Expected Salary Range: $70,177.00 - $87,722.00 - $109,652.00
Our typical hiring range will be +/- 5% of the midpoint shown above
Factors influencing this decision include qualifications and market conditions for the role
**The Company**
**Job Summary**:
In this role you will:
- Be part of an agile delivery team that develops Data and Analytics Products to support decision making across the Organization.
- Work with new and emerging technologies in the cloud to gather, model and visualize data.
- Work in a collaborative environment with opportunities for technical and career development.
The Analyst, Analytics Delivery performs analytical work to support the development, implementation and maintenance of reporting and analytics solutions. As a specialist in data analytics, visualization and storytellingthe individual manages the tactical execution of Analytics Delivery tasks as they flow through the agile delivery process.
**Key Accountabilities**:
- Closely collaborates with the Manager, Analytics Delivery and Insights Execution and other Analysts to understand detailed business needs and develop reporting and analytical solutions.
- Develops data and reporting functionality, including reports and dashboards, based on requirements. Responsible for unit, integration and regression testing. Designs, develops and executes queries to access and expose data layers to be used in providing business insights.
- Analyzes data and provides verbal and/or visual written recommendations to Product Owners Identifies new insights as well as new technical capabilities and shares with team.
- Maintains an oversight of the overall model suite to ensure consistency, accuracy and repeatability. Creates logical data models and physical data models for new solution development in support of the business needs. Ensures data models are fully documented and appropriate data dictionaries are created.
- Provides training to the team on business intelligence methods, tools, design, and result, and on advanced reporting and database marketing best practices including segmentation, campaign management, core KPI development, and campaign level analysis.
- Continuously researches and learns about new technologies and data and reporting best practices (where best practices may include industry, general business or BCLC business acumen) and provides feedback to the rest of the team in order to influence departments’ strategic initiatives.
**Minimum Required Qualifications**:
**Education and Experience**
- A degree in a business discipline such as Business Analytics, Information Technology, Marketing, Business Analysis or Statistics;
- 3-5 years of related experience in development of data and analytic solutions, including a minimum of 3 years proven technical experience working within a complex business environment with the demonstrated ability to analyze business situations and develop innovative solutions to complex situations;
- Experience with the following: developing end-to-end analysis with limited guidance; data intelligence best practices; including disparate data source integration techniques, segmentation, core KPI development, promotion/campaign ROI analysis and post analysis; data analysis and designing reporting solutions including (but not limited to) dashboards, portals, and report objects; web analytics, including but not limited to java script tagging, web dashboard creation and conversion funnel analysis;
- An equivalent combination of education and/or experience may be considered.
**Technical Requirements**
- Knowledge in the areas of business analysis, business intelligence reporting, web/digital analytics and/or database marketing;
- Understanding of data mining and database query tools.
- Familiarity with contact history management/strategies, customer lifecycle and privacy requirements;
- Understanding of statistical analytics including the use of statistical software, the ga
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