BI Analyst / Data Analyst, Fractal

Salary not provided

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs

SQL

Tableau

Looker

Postgres

Excel

Power BI

MySQL

Snowflake

Oracle

Qlik

Junior and Mid level

Toronto

AI-driven data analytics platform

Open for applications

AI-driven data analytics platform

1001+ employees

B2BArtificial IntelligenceAnalyticsSaaSData Analysis

Open for applications

Salary not provided

SQL

Tableau

Looker

Postgres

Excel

Power BI

MySQL

Snowflake

Oracle

Qlik

Junior and Mid level

Toronto

1001+ employees

B2BArtificial IntelligenceAnalyticsSaaSData Analysis

Company mission

To reshape business through science and advanced data tools and uncomplicate decision-making, so human intelligence can be freed from the drudgery of monotonous work and committed to the pursuit of imagination and creative rewards.

Job

Company

Role

Who you are

BI Platforms: Strong proficiency in at least one leading BI tool (e.g., Tableau, Microsoft Power BI, Qlik Sense/View, *experience with Looker is a plus) with proven experience in developing complex dashboards and reports
SQL: Advanced SQL skills for complex data querying, manipulation, transformation, and extraction from various relational databases (e.g., SQL Server, Oracle, MySQL, PostgreSQL)
Python: Intermediate proficiency for data extraction and analysis
Data Modeling: Solid understanding and practical experience with data modeling concepts (e.g., star schema, snowflake schema) to support BI solutions
Data Warehousing Concepts: Good understanding of data warehousing fundamentals and ETL (Extract, Transform, Load) processes
Advanced Excel: Proficiency in Microsoft Excel for data analysis, including pivot tables, advanced formulas, and data manipulation
Non-technical Qualifications:
Analytical and Critical Thinking: Strong ability to collect, organize, analyze, and interpret significant amounts of information with attention to detail and accuracy;1 ability to identify patterns, trends, and anomalies
Problem-Solving: Proven ability to understand complex business problems and devise effective, data-driven solutions and recommendations
Communication (Verbal and Written): Exceptional ability to articulate complex technical concepts clearly and concisely to both technical and non-technical audiences, including client stakeholders at various levels. Experience in presenting findings and recommendations
Client-Facing & Interpersonal Skills: Demonstrated ability to build and maintain strong client relationships, manage expectations, and work effectively in a team-oriented, collaborative consulting environment
Requirements Elicitation: Skill in gathering, documenting, and translating business needs into technical BI requirements
Adaptability and Proactiveness: Ability to adapt to changing project requirements, technologies, and client environments; proactive in identifying issues and opportunities
Time Management and Organization: Strong organizational skills with the ability to manage multiple tasks, prioritize effectively, and meet deadlines in a fast-paced2 environment
Business Acumen: Good understanding of general business operations and the ability to quickly learn and apply industry-specific knowledge relevant to client engagements
Bachelor's/Master’s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, or a related field

What the job involves

As a Business Intelligence Analyst with 5-6 years of experience, you will play a crucial role in delivering data-driven solutions for our enterprise technology client focused on Marketplace Analytics and Application ecosystems
You will be responsible for understanding client business needs, translating them into analytical requirements, and developing insightful BI solutions, including reports, dashboards, and data visualizations
This role requires a strong blend of technical expertise, business acumen, analytical prowess, and excellent client-facing communication skills
You will work collaboratively with client stakeholders and internal consulting teams to drive impactful outcomes
Client Engagement & Requirements Gathering:
Collaborate directly with clients to understand their business objectives, challenges, and key performance indicators (KPIs)
Elicit and document detailed business and data requirements for BI solutions
Translate business requirements into technical specifications for data models, reports, and dashboards
Data Analysis & Modeling:
Collect, clean, transform, and validate data from various sources to ensure accuracy and reliability
Perform in-depth data analysis to identify trends, patterns, anomalies, and opportunities for clients
Develop and maintain data models to support BI reporting and analytics
BI Solution Development & Implementation:
Design, develop, and deploy interactive and user-friendly dashboards, reports, and data visualizations using BI tools
Develop and optimize SQL queries for data extraction, manipulation, and analysis
Ensure BI solutions are scalable, efficient, and aligned with client needs and industry best practices
Insight Generation & Presentation:
Analyze and interpret complex datasets to generate actionable insights and strategic recommendations for clients
Clearly and effectively communicate findings, insights, and recommendations to both technical and non-technical client stakeholders through compelling presentations and written reports
Identify the right problem statements and build dashboards with data to answer them
Project & Stakeholder Management:
Manage BI-focused project components, including timelines, deliverables, and client expectations
Collaborate effectively with internal consulting teams, data engineers, and client personnel
Provide training and support to clients and new team members on BI tools and solutions
Continuous Improvement & Innovation:
Stay current with the latest BI technologies, tools, and industry trends
Identify opportunities to improve existing BI processes, methodologies, and client solutions

Application process

End Date: July 4, 2025

Our take

The analysis of business data is essential in making operational changes based on forecasting, managing supply chains, and optimizing revenue, but the mass of available data can be overwhelming. This can sometimes be combatted with the power of AI-driven data analysis tools, but existing solutions are usually designed to solve specific problems within specialized industries.

Fractal develops AI-driven tools and platforms for businesses, including a conversational AI platform called Senseforth, a revenue growth AI tool called Samya, AI algorithms for medical imaging named Qure, and an all-in-one data analytics platform called Crux Intelligence. The company develops its solutions to be flexible and applicable within a wide range of industries including consumer packaged goods, healthcare, financial services, and media.

Whilst AI-driven business tools are commonplace, Fractal has taken the smart approach of developing a suite of flexible AI tools that can tackle problems in many industries, as opposed to focusing on a specific problem or industry. This strategy has positioned the company well for continued growth and impact, reflecting its broad applicability and potential in the market.

Steph

Company Specialist at Welcome to the Jungle

Insights

8% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 4 rounds)

Jan 2022

$360m

GROWTH EQUITY VC

Jan 2019

$200m

GROWTH EQUITY VC

Total funding: $685m

Company HQ

World Trade Center, New York, NY

Leadership

Pranay Agrawal

(CEO)

Experience as Associate for ANZ Grindlays Bank. Manager at ICICI bank from 1998 to 2000.

Srikanth Velamakanni

(Executive Vice Chairman)

Experience as Assistant Manager of ICICI Bank. Co-founder and Trustee of Plaksha University since 2018.

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