Lead Technical Data Analyst - Data Warehouse Services
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression - all while maintaining robust trust-and-safety protocols.
We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus).
What you'll be doing:
Must Haves:
In this role you may be exposed to adult content
We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus).
- A select number of positions require full-time in office attendance*
What you'll be doing:
- Participate in leadership of a team of analysts
- Work with internal stakeholders including; Directors, Analysts, and Developers to understand business requirements/goals, and help capture the strategy, content, and features for layout of our reporting environments.
- Analyze data and structure from data marts
- Participate in brainstorming sessions regarding functional requirements, content organization, process flow, and report specifications.
- Develop queries for investigation of data issues or creation of new report structures for business units.
- Partner with Database administrators and developers to establish high-level time and effort estimates based on client requirements during report project kickoffs, and then refining the estimate during each iteration.
- Collaborate with Project Managers to identify project status, potential risks and issues.
- Become a subject area expert
- Assist in the coordination of development roadmaps
Must Haves:
- 4+ years of experience in a similar technical analytical role
- 2+ years of leadership experience
- Bachelor’s degree in Computer science, Mathematics, or other relevant degree
- Knowledge of tools to create, extract, and analyze from SQL Server / Excel / PowerBI / Fabric / Cubes.
- Strong technical skills in TSQL, SQL, Mysql and Azure
- Analytical and problem solving skills.
- Strong customer support experience.
- Understanding Data flow Concepts.
- Understanding Business Model Concepts.
In this role you may be exposed to adult content
More about this job
Responsibilities
The Lead Technical Data Analyst will lead a team of analysts to manage data storage and dissemination across the organization. They will collaborate with stakeholders to define reporting strategies, analyze data structures, and develop queries to support business requirements.
Requirements
Candidates must have at least 4 years of technical analytical experience and 2 years of leadership experience. A bachelor's degree in Computer Science, Mathematics, or a relevant field is required along with strong proficiency in SQL and Azure technologies.
Skills
- SQL Server
- Excel
- PowerBI
- Fabric
- Cubes
- TSQL
- SQL
- Mysql
- Azure
- Data analysis
- Problem solving
- Customer support
- Data flow concepts
- Business model concepts
- Leadership
- Reporting
Benefits
- Hybrid work environment
- Collaborative office space
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
Keywords
- Data Warehouse
- Technical Data Analyst
- SQL Server
- PowerBI
- Azure
- Fabric
- TSQL
- Mysql
- Data Marts
- Reporting
- Database Administration
- Data Flow
- Business Intelligence
- Leadership
- Data Analysis
- Project Management
- Strategy
- Stakeholder Management
- Data Modeling
- Technology