Data Analyst

Who We Are

Fasken is a leading international business law and litigation firm, and was voted one of Canada’s Best Employers for 2024. Our firm’s 950 lawyers are located across offices in Vancouver, Surrey, Calgary, Toronto, Ottawa, Montréal, Québec City, London and Johannesburg and an office in the professional and retail district known as Taza (/Ta-Zah/) on Tsuut’ina lands. Providing strategic and thoughtful advice in all areas of business law, our broad range of clients include close to half of the Fortune 100 companies, as well as corporate clients, government agencies, regulatory authorities, non-profit bodies and individuals.

Our clients interests are paramount in all that we do and we take pride in supporting our communities. We are a place where bright, talented, and collegial people want to work together and we work hard together to achieve our goals in a collaborative and efficient way.

Your Role

Reporting to the Manager, Data Governance and Engineering, the Data Analyst will support the data governance, data engineering and analytics solutions to support the Firm’s strategic decision making process. The successful candidate will be a data-driven individual who possesses analytical problem solving, data manipulation, and data management skills.

Hours of work are from 9:00 a.m. to 4:00 p.m. and 8:00 p.m. to 9:00 p.m. Occasional pre-authorized overtime may be required to meet client needs. The role is remote-first, with the occasional on-site meeting at the Toronto office in order to collaborate with team members and business stakeholders. The Analytics team is located across several offices, therefore the candidate should be comfortable collaborating in a remote-first fashion.

At Fasken, success means:

• Having a strong client service approach – you’re ready, willing, and able to put our clients first and exceed their expectations
• Caring about one another – you possess strong interpersonal skills and the ability to build harmonious working relationships within your immediate team, across other departments in the firm, and the community
• Working collaboratively – you’re a self starter who values working in a collaborative team based environment
• Possessing exceptional communication skills (both verbal and written) when dealing with lawyers, clients, staff and third parties
• Approaching your work with agility and the willingness to learn and utilise new technology
• Being adaptable to changing priorities in a fast-paced environment while being organized and maintaining accuracy with a high attention to detail
• Demonstrating strong research, investigative and problem solving skills with the ability to exercise judgement to resolve issues
• Treating sensitive and confidential matters with discretion and diplomacy at all times

Primary Responsibilities: 

Master Data Maintenance

• Process recurring and adhoc updates of various business fields in the ERP system
• Perform reconciliations and quality assurance verifications before and after changes to ensure that all updates have been properly processed
• Respond to Master Data change requests and questions from internal stakeholders (Tickets)

Data Governance

• Perform data quality review exercises to ensure the quality of data is consistent (ie. Missing fields, Improper Fields)
• In collaboration with our Data Engineer, the Data Analyst will participate in various initiatives such as setting up and monitoring data pipelines, transformations, etc.
• Participate in Special Projects on ad hoc basis
• Monitor Data Quality in the ERP, and develop tools to measure
• Regular monitoring of the Data Architecture (ie. Successful run of Data Pipelines, Refresh of the Data Lake and On-Prem databases, etc.)

Data Engineering

• Develop or troubleshoot PySpark Notebooks for data transformation and delivery
• In collaboration with our Data Engineer, the Data Analyst will participate in various initiatives such as setting up and monitoring data pipelines.

Development & Analytics

• The Data Analysts will maintain or enhance existing quality monitoring reports/queries and dashboards, as well as develop new ones
• Perform and process internal information requests (ie. Audit Requests, Reports, etc.)
• Other Ad hoc requests and special projects

Required Knowledge and Experience:

• Bachelor’s degree in math, statistics, engineering, computer science, or other quantitative field, or equivalent level of experience
• Minimum 1 – 3 years of experience in data analysis, data science, data engineering, business intelligence, database administration, or other related field
• Intermediate Transact-SQL skills, including writing and running SQL Query
• Knowledge of SQL Data Structure (Database, Tables, etc.)
• Knowledge of Python (Pandas Dataframes and APIs are an asset)
• Working experience with Microsoft platforms: Azure Synapse, Azure Datalake Storage, Microsoft Fabric, Microsoft PowerBI and SSRS
• Strong technical skills with Microsoft 365 applications (Excel, Word, PowerPoint, Teams)

Diversity and Inclusion

At Fasken we believe a diverse workplace is comprised of individuals with unique backgrounds, characteristics and qualities. An inclusive workplace creates an equitable environment where individuals are respected and where they are welcome. Fasken is committed to diversity and inclusion in all that we do.

Accessibility and Accommodation

It is important to our Firm that all its members, including those with disabilities, find our workplace to be welcoming and supportive. Reasonable accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process.

Background and Reference Checks

Any offer of employment may be conditional upon full background checks including a criminal record check, a credit check, employment and educational verifications.

Your Application

We appreciate hearing from all qualified candidates, however, only those applicants whose background and experience match our requirements will be contacted.

NO AGENCIES, PLEASE.