Explore With Us
Are you looking to grow your career and make a meaningful impact? Interested to tackle new challenges? We’re looking for people like you!
The Proactive Hiring process is specifically designed for applicants who are seeking job opportunities at a later date. Applying for roles under Proactive Hiring means that you are applying for roles without immediate vacancies. However, we anticipate that we will need to hire for these roles in the next few months.
Here’s what you can expect when applying for a Proactive Hiring role:
Merit-based Evaluation: Your application will still undergo our standard skills- and values-based assessments.
Longer Lead Time: Turnaround time for processing Proactive Hiring applications may take longer than for Immediate Hiring applications, making it suitable for folks open to exploring opportunities!
Reserved Slot as a Priority Candidate: A successful application will result in a slot as one of our top candidates for the role. This is not yet a formal job offer, but expresses our intent to extend an offer to you once a vacancy becomes available.
First In Line for the Job: Once there is an active vacancy for the role, you will be one of the first people we contact and to whom we extend an official offer!
At Thinking Machines, we treat all our candidates with great care and fairness while ensuring we stay ahead of the curve to anticipate our clients’ needs.
Working at Thinking Machines
Thinking Machines is a technology consultancy building AI & data platforms to solve high-impact problems for our clients. Our vision is a future where data-driven decision-making is a norm and where AI is used to support humans in making excellent decisions. To do that, we create data cultures, one organization at a time.
We’re a company made up of intellectually curious, civic-minded, forever-learning individuals. We believe that great data science products are built with care for people and that the best way to drive inclusive innovation is to start with a diverse team.
Our field of work is incredibly dynamic, so we want to work with people who are committed to growing with us. We want to hire people who can demonstrate an ability to learn, then provide personalized coaching, growth opportunities, and a great working environment to get them to world-class.
Role Description
As a Lead Business Intelligence Analyst, you will be working closely with clients coming from different industries to process, analyze, and visualize data that will enable them to make smarter and informed decisions. In this role, you will also be responsible for leading a team and workstream—designing analytics solutions with your team, managing stakeholders, delegating tasks effectively, and stepping in to take on ad hoc tasks when needed.
The responsibilities of a Business Intelligence Analyst can be categorized into 7 Key Areas:
- Understand: Establish a good understanding of the client’s data by exploring its features, researching about their industry, and compiling the knowledge into well-written documentation.
- Collaborate: Engage with other teams within or outside the company in planning and developing end-to-end data solutions, and ensuring that analytics seamlessly integrates across large-scale data systems.
- Process: Prepare the data for analysis by developing sustainable data models, performing data quality assessments, and designing data transformations using tools like SQL, Python, and spreadsheet tools.
- Automate: Develop scalable and production-quality data transformation pipelines to ensure maintainability of analytics systems.
- Analyze: Explore the data to find patterns and discover insights that will enable clients to make informed decisions.
- Visualize: Design and develop charts and interactive dashboards that would make the information accessible to the clients.
- Communicate: Share the development process and highlight insights by creating decks, writing reports and other documentation, and presenting them to the clients.
If you're a quantitative and critical thinker, a self-motivated learner, and the type of person who gets excited about using data and design to promote informed decision-making, then we highly encourage you to apply!
Role Requirements
We’re looking for someone who has:
- Leadership skills - You have the ability to lead a team or workstream, manage stakeholders, design solutions collaboratively, and balance delegation with hands-on mentorship or support when needed.
- An appetite for discovery and learning - You may work with clients across different industries and with data you’ve never encountered before. You need to be comfortable diving into a client’s domain and asking the right questions to understand and make sense of the data.
- Systems thinking - You’re able to design data models and analytics systems holistically and identify opportunities to make analytics processes quicker and more reliable. Your work will often come in the middle or towards the end of the entire system, so you need to be aware of how all the different parts affect each other.
- Problem-solving capabilities and analytical skills - Each dataset presents its own unique set of problems. You need to be up for the challenge and create solutions that would help set up and prepare the data to address the client’s business problems.
- Strong communication and interpersonal skills - Data doesn’t speak for itself. You need to ensure that the insights and other technical concepts are understood by the right people, via both verbal and written form.
- Great adaptability and high tolerance for ambiguity - Unexpected things can happen during the project that would impact how you work. You need to be open to adopting and adapting along the way.
- Strong sense of ownership and initiative - You may discover gaps and other opportunities for improvement while doing your work. We want someone who can take initiative to own these things or collaborate effectively with the rest of the team to address these opportunities.
Qualifications and Competencies
This position requires the following minimum technical skills and experience:
- 4+ years of experience in the data analytics field
- Demonstrated experience in:
- Any tool or language for data analysis (SQL, Python/Pandas, Excel/Sheets, etc.)
- One or more data visualization tools (Tableau, Data Studio, Power BI, etc.)
- Strong knowledge of Data Visualization and Design Principles
- Strong proficiency in both verbal and written communication—ability to breakdown complex insights and communicate to both technical and non-technical audiences
- Strong business acumen and the ability to translate insights into actionable recommendations
- Ability to collaborate and work effectively with cross-functional teams, manage stakeholders, and lead client/stakeholder meetings
- Familiarity with:
- data warehousing tools (e.g. BigQuery, Snowflake)
- cloud platforms (e.g. GCP, AWS, Azure)
High preference for candidates that have:
- Experience working with data transformation tools (e.g.: dbt, Dataform)
- Experience working with data pipeline tools (e.g.: Airflow, Dagster)
Benefits and Perks
We offer the following compensation and benefits:
- Competitive salary — the compensation amount is positively correlated with the difficulty of the job, relevant experience, fit, and skill factors.
- Hybrid Set-Up — Hybrid-remote means employees are required to come in an average of two days a week for client engagements and internal in-person days intended for collaboration, socials, and strategic planning.
- Individual professional development budget — an annual budget for conferences, training courses, books, and software is available to sharpen your skills and build new ones to help you grow in your role.
- Full health benefits — generous health insurance package upon hiring, with options to include dependents.
- Apprenticeship and yearly performance reviews with the leadership team to discuss career and personal goals, job progress and any questions and concerns.