Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 205 days ago

Analytics Engineer

wirelessdna110 open roles

Where
4789 Yonge St, Toronto, ON M2N 0G3, Canada
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAnalytics Engineerwirelessdna · 4789 Yonge St, Toronto, ON M2N 0G3, Canada

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on wirelessdna's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 205 days ago

The posting

Key Responsibilities :

Data Engineering & Pipeline Development 

Design and maintain data pipelines using PySpark and SQL, supporting a medallion architecture (bronze → silver → gold). 

Build ingestion, transformation, and validation workflows that are clean, documented, and maintainable by others. 

Apply schema validation, deduplication logic, and data integrity checks as standard practice. 

Use Microsoft Fabric (Lakehouses, Dataflow Gen2, Fabric Pipelines) as the primary platform. 

Reporting & Analytics 

Build and maintain recurring business reports — sales performance, churn analysis, revenue variance, and commission reconciliation. 

Develop and publish Power BI dashboards with DirectLake or import-mode datasets, using DAX for calculated measures and KPIs. 

Translate business questions from stakeholders into accurate, well-structured data outputs. 

Proactively surface anomalies and data quality issues. 

 Process Automation 

Identify manual, repetitive reporting processes and deliver automated replacements. 

Use Power Query, Dataflow Gen2, and notebook-based pipelines to streamline data preparation. 

Document data models, transformation logic, and report definitions to an audit-grade standard. 

Collaboration & Delivery 

Work closely with business stakeholders to understand reporting requirements and validate outputs. 

Scope clearly, execute promptly, and communicate blockers early. 

Document data models, transformation logic, and report definitions to an audit-grade standard. 

Maintain organized, version-controlled artifacts in SharePoint. 

 

Requirements: 

3–5 years of experience in a data analyst, BI engineer, analytics engineer, or similar hands-on data role. 

Demonstrated experience building automated data processes that replaced manual work — not just improved it. 

Strong SQL: complex queries, joins, aggregations, CTEs, and transformation logic. 

PySpark / Spark SQL: notebook-based data processing and transformation. 

Advanced Power BI: report development, data modelling, DAX measures, and performance optimization. 

Power Query (M language): custom transformations and query optimization. 

Advanced Excel: pivot tables, dynamic arrays, Power Query integration. 

A genuine curiosity about AI tools and where they can be applied — you follow this space, you experiment, you have opinions. 

Self-directed: you identify problems without being told and you drive solutions to completion. 

Preferred / Assets 

Hands-on experience with Microsoft Fabric: Lakehouses, Dataflow Gen2, Fabric Pipelines, OneLake. 

Experience using LLMs or ML tools in a practical data or automation context (even prototyping counts). 

Familiarity with agentic AI frameworks or AI-assisted workflow design. 

Python (pandas, data wrangling) as a complement to PySpark workflows. 

Exposure to telecom, dealer, or commission-based business models. 

Experience building or maintaining medallion (bronze/silver/gold) data architectures. 

Familiarity with Dataverse / Dynamics 365 data structures. 

Background working in lean IT teams where you own the full stack from raw data to report. 

 

Success in the First 6 Months 

Success in this role is measured by reliability, trust, and manual work eliminated — not just deliverables shipped. 

Core recurring reports — reconciliation, variance, churn, sales performance — are automated and running reliably with minimal manual intervention. 

A material, trackable reduction in time spent by the business on recurring manual data tasks. 

At least one AI-assisted workflow is live and demonstrably replacing a previously manual process. 

Power BI dashboards are trusted by stakeholders as the definitive source of truth for key metrics. 

Data pipelines are clean, documented, and maintainable by the broader team without your involvement. 

Ad hoc analysis requests are turned around quickly with accurate, well-presented outputs. 

The Sr. IT Manager’s time on routine data tasks is materially reduced. 

 

Why This Role 

This is not a “maintain the status quo” hire. We have a real mandate to modernize how data is managed and delivered across the business, leadership that supports it, and the infrastructure investment already underway. If you are someone who gets energized by owning data end-to-end — from the pipeline that builds it to the dashboard that tells the story — this role was built for you.  Compensation : $75-85k (Onsite Role)

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against wirelessdna's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on wirelessdna's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    wirelessdna's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.