Analytics Analyst

Enterprise Analytics Specialist (Contract Position)

Number of Positions: 1 Duration: 1 month, FT perm conversion possibility

Location: Toronto, ON, CA

Must be eligible to work in Canada

Fully onsite role, 5d/w either in Toronto, Kitchener, or Windsor is required.

Roles and responsibilities:

The Enterprise Analytics Specialist supports the client by driving strategic, data-

informed business decisions. This role involves gathering and preparing data for analysis,

identifying key variables, and translating complex data into clear, actionable insights.

 Analyze complex data by using their intermediate to advanced expertise in data

mining, Business Intelligence, data modelling

 Apply knowledge of sales and product information and data across multiple lines of

business to identify operational insights and key factors that are driving business

performance

 Leverage statistics to develop, customize and test solutions, solving a wide

variety of business challenges

 Work in a fast paced and deadline driven environment while adapting to

changing priorities and managing multiple projects simultaneously

As the successful candidate, you’ll have responsibility for:

 Overseeing analytics operations, correcting discrepancies, and ensuring data quality

 Acting as a resource for internal stakeholders by applying leading techniques,

interpreting data, understanding implications for business function strategy,

tactics and ongoing operations

 Collaborating with technology partners to strengthen alignment between business

data applications, implications and technical architecture

 Ensuring accurate and timely reporting on program/project metrics

 Identifying and recommending ways to simplify and automate processes to

increase reporting productivity

 Staying up to date with the latest technology, industry trends and industry best

practices

Must have skills/experience/qualifications:

 A degree or diploma in Mathematics, Business Administration with a

concentration in Data Analytics, Computer Science or a related field

 3+ years of related experience

 A logical and curious thinker who can learn new technologies, computing

applications or data sources

 An enthusiastic self-starter with a high degree of initiative and adaptability

 A strong team player that thrives in a collaborative environment

 Ability to work with minimal supervision, adhere to strict deadlines

 Ability to prioritize, multitask and manage various projects simultaneously

 Proficiency in using data mining, query, analysis, and reporting tools

 Knowledge of SQL and programming languages such as Python

 Experience with Data Warehousing

 Excellent verbal and written communication skills

 Excellent planning, organization and time management skills including the ability

to support and prioritize multiple projects

These additional skills are considered assets too:

 Experience working in the financial services industry

If you feel you’re a great fit, let us know why!

We appreciate the interest of all applicants, however, only those candidates selected for

an interview will be contacted.