Job Description

WHO WE ARE:

Mariner innovates always and everywhere, turning novel ideas into practical solutions. From products and services to venture creation, we build better futures powered by people. We partner with people embracing change, leveraging data, cybersecurity, cloud, and change management to drive successful business outcomes that matter to our customers.

Mariners build for change. Like SHIFT Energy , our energy management and decarbonization company. Or East Valley , created to scale social economic impact in our communities through investment and mentorship of emerging change-makers and their companies.

Mariner s purpose has always been to be a great, everlasting technology company and the core values that guide us every day are:

OUR VALUES

• We care for our team.
• We care about the impact we have on our community.
• We serve by solving complex problems.
• We grow because growth fuels opportunities.
• We innovate always and everywhere.
• We build a business that lasts.

OVERVIEW OF THE ROLE:

We are seeking a highly skilled and detail-oriented Data Analyst to join our team. This role is ideal for someone with a passion for uncovering insights from complex datasets and driving data-informed decision-making. As a Data Analyst, you will be responsible for data manipulation, statistical analysis, and visualization using modern tools and techniques. You will work across functional teams to transform raw data into actionable business insights, support reporting needs, and contribute to data-driven strategies.

WHAT YOU LL BE DOING IN THE ROLE:

• Must be proficient with using SQL for writing complex queries, joins, aggregations, and subqueries. Python programming skills are highly desirable for advanced data analysis, statistical modeling, and automation tasks. Python's libraries like Pandas, NumPy, and Seaborn are widely used in the analytics ecosystem.
• Understanding relational database structures and optimization techniques is required. Deep knowledge of principles pertaining to data warehousing, data lakes, Lakehouses, data marts and other data stores specialized for analytics and reporting is crucial.
• Demonstrated proficiency in Microsoft Excel, including the use of pivot tables, VLOOKUP/XLOOKUP, advanced formulas, and VBA scripting for efficient data analysis, reporting, and decision support.
• Skilled in data cleaning and transformation, including handling missing values, normalizing datasets, addressing outliers, and converting raw or unstructured data into usable formats using tools such as Python, SQL, and Excel.
• Proficient in data profiling and statistical analysis, with a solid understanding of both descriptive and inferential statistics, including hypothesis testing, regression analysis, correlation, variance analysis, and statistical significance testing for accurate data interpretation.
• Understanding of ETL concepts and data pipelines, including data flow from source to destination and the impact of data transformations on analysis. Familiarity with tools such as Databricks or Microsoft Fabric is considered an asset.
• Strong ability in data visualization and storytelling, with proficiency in tools such as Power BI or Tableau. Skilled in selecting appropriate chart types, incorporating interactivity, and presenting data-driven insights in a clear and compelling manner.
• Experience building and maintaining interactive dashboards for monitoring business metrics in near real-time is crucial. Familiarity with tools like Power BI or Tableau is expected.
• Must employ an AI-first approach, leveraging AI-powered tools like ChatGPT, Copilot, or Claude to enhance analysis, automate routine tasks, and improve efficiency. Experience with prompt engineering and familiarity with AI-assisted features in platforms such as Fabric, Power BI, and Excel, are increasingly valuable. Analysts should also stay informed about emerging AI capabilities and apply them responsibly to augment analytical workflows.
• Should be familiar with business fundamentals and be able to align data interpretations with business objectives, KPIs, and stakeholder goals to deliver actionable recommendations. In some cases, domain-specific knowledge will be required.
• Awareness of data privacy requirements, data lineage, and quality assurance processes is important. Analysts should be able to detect and flag issues such as anomalies, inconsistencies, and duplication.
• Experience with Git or similar tools for maintaining version history of scripts and collaborating with data teams is important.
• Strong written and oral communication skills are essential for collaborating with team members and stakeholders. Data analysts must be able to elicit/clarify requirements and convey findings to audiences with varying technical abilities, including non-technical audiences.

WHAT SKILLS / QUALIFICATIONS YOU LL NEED TO DO THE JOB:

• Bachelor s degree in computer science, Information Technology, or a related field.
• Proven experience of minimum 3 years in BI/ Data Analyst or in a similar role
• Should have experience working with Large Lange Models like Copilot and/or ChatGPT.
• Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of statistical concepts and techniques.
• Familiarity with tools like Databricks or MS Fabric is an asset.
• Excellent problem-solving and communication skills.

AND YOU ARE...

• Always improving your skills and knowledge: you want to be the best at what you do
• Curious and creative; comfortable taking on new problems and challenges
• A self-starter with the ability to recommend priorities to the project leader
• Comfortable working through problems and figuring things out with minimal supervision
• Great problem-solving skills: thorough and reliable
• Able to work in a team: share knowledge and assist other team members
• A good communicator: able to explain your ideas and recommendations
• Well organized and dependable under pressure: you manage your time effectively
• Energized by our company values!

MARINER OFFERS YOU:

• A values-driven workplace where people really matter
• Flexible work location
• Support for remote work/work from home
• Competitive salary, retirement savings program, and rewards program
• Comprehensive health, dental, vision, life and disability insurance plans and access to e-health care
• Paid vacation, maternity/parental leave, paid sick leave and paid Mariner MyLife days
• Unlimited training

WHY MARINER?

We believe in making a positive impact in the communities where we live and work! Not only are we passionate about nurturing a thriving technology sector here in Atlantic Canada, but we are also committed to solving technology challenges that will make an impact worldwide. Technology is everlasting, and we take pride in connecting world class talent to world class projects and business solutions.

If you are an IT Professional, Software Professional, or Management Consultant, that is passionate about career development, data, and problem solving, we want to hear from you! If this sounds like someone you know, share this with them so they do not miss the opportunity to experience Mariner!

To achieve this, we know we need to be all in on training and development of our team so we can continue to move the needle in the technology sector together. Of course, we offer competitive compensation and benefits packages to our team, but our competitive edge is the development and training that our team experiences every day.

Be part of our vibrant community that values diversity and embraces inclusion at every level. We are committed to fostering a culture where individuals from all backgrounds and walks of life feel empowered to contribute their unique perspectives. Our collaborative environment celebrates the richness of ideas and experiences, and we believe that by embracing diversity, we can achieve greater innovation and excellence together. Come and help us create a workplace that reflects the beautiful tapestry of our global community.

Join our growing team!

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