Data Analyst

🚀 Join Our Agile Team as a Data Analyst Are you passionate about turning data into powerful insights that drive real business decisions? We're expanding our Agile team and looking for a self-sufficient, analytical Data Analyst who thrives in a fast-paced, collaborative environment.

As our Data Analyst, you'll transform data into actionable insights that power smarter decisions. You'll lead operational reporting, uncover trends, and support predictive modeling across the business. Your work will directly influence strategic planning and business intelligence initiatives. You'll also help streamline processes by identifying the tools, systems, and reports that keep our operations running smoothly?🌟 Why This Role Rocks:

Deep Analytics:
Dive into complex datasets to uncover trends, patterns, and opportunities that directly influence business decisions.

Agile

Collaboration:

Collaborate in fast-paced, iterative sprints with developers, analysts, and stakeholders-where priorities shift and teamwork drives results.

Professional Growth:
Expand your skills in analytics, business intelligence, and process improvement, with opportunities to grow your career in a data-driven organization.🗓️ Apply By:
Posting remains open until filled or interviews begin.💼 Salary Band: $75,200 - $122,200 - A reasonable estimate of the pay range for this role is $76,000 - $86,000 at the time of this posting. (Individual pay is determined by factors such as job-related skills, market conditions, relevant experience, education, training and internal equity).📍

Work Location:

Office or Hybrid option working from either our Moncton, NB or Halifax, NS Office.

Onboarding/Probation:
Full-time in-office for the first 6 months, based in Moncton, NB preferred.

After Probation:
You can choose to either continue working full-time in the office or switch to a hybrid model, coming into the office 2-3 times a week.

Responsibilities

📋 Role Highlights:

Deliver Actionable Insights:
Conduct in-depth data analysis to support strategic and operational decision-making.

Monitor & Optimize Performance:
Analyze KPIs, identify cost and revenue drivers, and continuously refine dashboards and metrics.

Collaborate in Agile Sprints:
Work closely with cross-functional teams in an Agile environment, contributing to sprint planning, stand-ups, and retrospectives.

Support Business Intelligence:
Contribute to BI initiatives and maintain alignment with organizational standards and evolving tools.

Drive Data-Driven Decisions:
Detect issues early, perform "what-if" analyses, and provide analytics that inform planning across financial, customer, process, and workforce areas.

Champion Data Consistency:
Partner with business units and analysts to ensure high-quality, reliable reporting and shared understanding of performance frameworks.🧠 What a Day Might Look Like:

Morning:
Join the daily stand-up, align on sprint priorities, and review data tasks.

Midday:
Analyze datasets, build queries, and collaborate on insights.

Afternoon:
Present findings, refine dashboards, and support decision-making.

End-of-Day:
Share learnings, update Jira, and contribute to retrospectives.

Qualifications

👥 Who Thrives Here:

We're looking for someone who's curious, independent, and committed to continuous learning. You'll play a key role in helping our team make smarter decisions, faster.

Traits that shine in our Agile world:

Self-Starter:
You take initiative and own your work.

Collaborative:
You value transparency and shared ownership.

Growth Mindset:
You're adaptable and always learning.

Analytical Depth:
You love digging into data and finding the story.🎓

What You Bring:

3+ years of experience in data analytics or a related field.

Strong proficiency in SQL and at least one scripting language (Python or R).Intermediate knowledge of MS Office product suite.

Experience with data engineering concepts-such as building scalable data pipelines or working with cloud-based data infrastructure-is a strong asset.

Experience with data engineering concepts or tools is a plus.

Excellent communication and problem-solving skills.

Comfortable working with large, messy datasets.

Must be 19 years of age or older to apply and reside in…