Job Opportunity As a Business Data Analyst With BSL Consulting LLC

Hey there data enthusiasts, there is a job opening as a business data analyst at BSL Consulting LLC.

We’re on the hunt for a Business Data Analyst to join our crew of problem-solvers and trend-trackers. 

From crunching numbers to uncovering insights, you’ll hold the locks and keys of our data universe. 

So if you’ve got a knack for unravelling mysteries and a passion for turning numbers into narratives, this could be the opportunity you’ve been waiting for.

Job Description

  • Location: Toronto, ON (2 days Onsite/Week), Hybrid remote in Toronto, ON M5S 2R2
  • Terms of Employment: Permanent employment, Full time
  • Salary: $100,000.00-$120,000.00 per year
  • Start Date: Starts as soon as possible.
  • Vacancy: 1 vacancy.
  • Verified: Indeed



  • English


  • Create, maintain BRD’s for identified data product, strategy initiative
  • Proficient in data handling, manipulation using common tools – SQL, Excel
  • Identify, prioritise and help deliver various data products within the organization
  • Emphasis on implementing data strategy initiatives for eg. merging internal data with third party data to create data assets for data consumers etc.
  • Work with technical teams, data engineers to execute data product delivery
  • Perform data product business value mapping and communicate to stakeholders
  • Manage day-to-day project operations, serve as the functional and domain expert on the project team to ensure that they meet client expectations
  • Own the entire process of understanding the needs from various business groups, design & development of solutions with technical team, own communication and deliverable quality and govern the overall relationship.

Job Requirements

To become employable as a data analyst, there are certain job requirements and qualifications that are typically expected by employers. 

Some common requirements for a data analyst position include:

  • Education: Most employers require a bachelor’s degree in a related field such as statistics, mathematics, computer science, economics, or a similar discipline. Some positions may also prefer or require a master’s degree or higher.
  • Technical Skills: Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS is often required. Familiarity with data visualization tools like Tableau or Power BI is also beneficial.
  • Analytical Skills: Strong analytical and problem-solving skills are essential for conducting data analysis and interpreting results.
  • Communication Skills: The ability to effectively communicate complex data analysis findings to non-technical stakeholders is important.
  • Attention to Detail: Data analysts need to have a keen eye for detail to ensure accuracy and reliability of their analysis.
  • Industry Knowledge: Having a good understanding of the industry in which you work can help you interpret data in a relevant context.
  • Experience: While some entry-level positions may be available for recent graduates, many employers prefer candidates with prior experience in data analysis or a related field.


  • Data Collection: Gathering and compiling data from various sources such as databases, spreadsheets, surveys, and more.
  • Data Cleaning: Pre-processing and cleaning the data to ensure accuracy and consistency.
  • Data Analysis: Applying statistical methods and data analysis techniques to interpret the data and extract meaningful insights.
  • Data Visualization: Creating charts, graphs, and visualizations to present the data in a clear and understandable format.
  • Reporting: Preparing reports and presentations to communicate analysis findings and recommendations to stakeholders.
  • Data Interpretation: Identifying patterns, trends, and correlations in the data to help inform business decisions.
  • Problem Solving: Using data analysis to solve complex business problems and drive strategic decision-making
  • Continuous Learning: You’re expected to stay up-to-date with the latest data analysis tools, techniques, and trends to improve your skills and knowledge.

Job Qualification

It’s really important to review the specific job posting for the position you’re interested in to understand the exact qualifications and requirements of the role.

But below are the general requirements for qualifying for this job:

  • Master’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
  • Based out of Canada, US – required in client office for minimum 2 days a week
  • Some recent experience in the insurance domain/ data is a must (Life and health insurance preferred).
  • Proficient in creating, maintaining BRD’s (Business Requirement Documents), Data manipulation, handling using SQL, Some insurance background experience (Life & Health preferred).
  • 5+ years experience in handling data products, data strategy type projects
  • Can perform data analysis and business analyst responsibilities
  • Technical = SQL, Python, Data Analysis, Database tools, Data Exploration, Data Visualization, Insight Generation

How To Apply

By applying directly on Indeed (Direct Apply) through:

This job posting includes screening questions. Please answer the following questions when applying:

  • Must have working experience with Insurance domain(Life & Health preferred) company in recent years?
  • Years of experience in Business and Data Analyst?
  • Years of experience with MS SQL for data manipulation and handling?

Frequently Asked Questions

Q: What skills and qualifications are required to become a data analyst?

A: To become a data analyst, candidates would need a bachelor’s degree in a related field such as statistics, mathematics, computer science, or economics. Strong analytical and problem-solving skills, proficiency in coding languages like Python or R, experience with data visualization tools like Tableau or Power BI, and a deep understanding of statistical concepts are also essential for success in this role.

Q: What are the main responsibilities of a data analyst?

A: Data analysts are responsible for collecting, analyzing, and interpreting large sets of data to help organizations make informed decisions. They clean and organize data, create reports and presentations to communicate findings to stakeholders, identify trends and patterns within data sets, and develop algorithms and models to derive insights that drive business growth and efficiency.

Q: What career opportunities are available to data analysts?

A: Data analysts have a wide range of career opportunities in various industries such as finance, healthcare, technology, e-commerce, and marketing. Some common job titles that data analysts may pursue include Data Scientist, Business Analyst, Data Engineer, and Machine Learning Engineer. Data analysts also have the opportunity to advance their careers by becoming data architects, data science managers, or even Chief Data Officers in larger organizations.

Q: How can I prepare for a data analyst job interview?

A: To prepare for a data analyst job interview, candidates should review key concepts in statistics, probability, and data analysis. They should also practice coding exercises in languages like SQL, Python, or R, as well as participate in mock data analysis projects to showcase their problem-solving skills.