Data Performance Engineer

mobileLIVE; Toronto; On-site; CAD 150,000 - 200,000; Full time

Job summary

A leading IT services company in Toronto is seeking a data analytics professional to optimize SQL queries and enhance database systems. The ideal candidate holds a Bachelor's degree and possesses strong analytical skills and proficiency in SQL. The position includes responsibilities in creating reports and collaborating with cross-functional teams to provide insights. This role offers competitive salary and benefits in a positive and inclusive work environment.

Benefits

Discounts on shopping

Gym memberships

Health, dental, and vision insurance

Office smoothie bar

Qualifications

• Proficient in SQL and relational databases.
• Experience in data analysis using Python or R.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).

Responsibilities

• Write and optimize SQL queries to analyze credit card data.
• Assist in maintaining and improving database systems.
• Create reports and dashboards using Power BI.

Skills

SQL

Analytical skills

Problem-solving skills

Python

R

Data visualization tools

Attention to detail

Communication skills

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Economics or related field

Tools

Tableau

Power BI

Excel

Job description

Who we are

mobileLIVE is one of the fastest-growing IT Services and Consulting companies in Canada and serves some of the most iconic brands, including Google, Loblaws, Staples, Telus, Bell, Rogers, CIBC, BMO, CMLS, Fossil, Fitbit and more.

Over the last decade, we have achieved 100% client retention and earned more than 20 notable industry recognition. This reflects our reliability in delivering what we promise and the quality we bring to every engagement.

Join our growth-driven culture and help us lead, innovate, and simplify. We are looking for team members who embody our values:

• Empathetic - we listen, we understand, and are considerate of everyone
• Persevering - we don't give up on challenges or people and go all the way
• Inclusive - we value everyone and their perspectives
• Reliable - we deliver what we promise, and more
• Innovative - we make things better than they were yesterday

The role

• Write and optimize SQL queries to extract, clean, and analyze credit card data for credit risk, marketing, fraud BUs etc.
• Assist in maintaining and improving database systems and data pipelines.
• Identify data inconsistencies and propose solutions to improve data quality.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Create reports and dashboards using tools like Power BI etc
• Support ad-hoc analysis requests related to customer behaviour, product performance etc
• Document processes and findings clearly for both technical and non-technical stakeholders
• Toos: Adobe Audience Manager, Target, Experience Manager, Quantum Metrics

You will

• Proficient in designing and executing reporting, analysis, and data visualizations using diverse applications such as Tableau, Power BI, SPSS, Excel, and SQL Server Reporting Services.
• Fluent in programming languages to extract and manage data (e.g., SQL, Python, R) and analyze large datasets.
• Knowledge of data governance principles and best practices.
• Experience with data modelling and business analysis techniques.
• Exceptional analytical and problem-solving abilities with meticulous attention to detail with an emphasis on accuracy.
• Knowledge of relational and dimensional databases, with an understanding of the flow of data throughout administrative systems.
• Write and optimize SQL queries to extract, clean, and analyze credit card data for credit risk, marketing, fraud BUs etc.
• Assist in maintaining and improving database systems and data pipelines.
• Identify data inconsistencies and propose solutions to improve data quality
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights Create reports and dashboards using tools like Power BI etc
• Support ad-hoc analysis requests related to customer behavior, product performance etc
• Document processes and findings clearly for both technical and non-technical stakeholders

Who you are

• Bachelor's degree in computer science, Statistics, Mathematics, Economics, or a related field.
• Basic understanding of SQL and relational databases.
• Strong analytical and problem-solving skills.
• Attention to detail and a passion for working with data.
• Good communication skills and ability to work in a team environment.
• Eagerness to learn and grow in the field of data analytics.
• Experience with Python or R for data analysis.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Exposure to financial services or credit card data through coursework or projects.

What to expect

Besides Competitive Salary and working for one of Canadas Best Managed and Top 50 Technology Companies, you should expect:

• Purposeful Work: autonomy, resources, and time you need to do what matters for our clients and most importantly - you
• Positive Environment: recognition coupled with a flexible environment that celebrates diversity, inclusivity and encourages everyone to achieve their best
• Growth & Development: opportunities to grow professionally and personally through mentorship, training, and development programs
• Transparency & Trust: direction, purpose, mission, and expectations are never a secret; you will always know where you stand as well as where you are going
• Exclusive Perks: discounts on shopping, the gym, insurance, mobile phone plans, not to mention an office smoothie bar and enough coffee to make you vibrate
• Meaningful Benefits: life happens. You will get health, dental, vision, disability, travel insurance, and much more all covered by us
• Unforgettable Events: team bonding, BBQs, office lunches (pizza, always pizza), gala dinners, and any other excuse to have fun

Inclusion and equal opportunity employment

mobileLIVE is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status, or any other legally-protected factors. Disability-related accommodation during the application process is available upon request.

Are you ready to join the award-winning team and help us accelerate digital transformation?