Senior Data Analyst
TextNow
What you will do:
- Data Analysis & Insights
- Analyze complex datasets to identify actionable insights, trends, and opportunities.
- Develop and maintain dashboards, reports, and data visualizations using tools such as Looker, Tableau, Power BI, or Redash.
- Conduct ad hoc analyses to support product, marketing, and operations initiatives.
- Data Strategy & Modeling
- Partner with data engineering teams to ensure data quality, integrity, and availability.
- Develop and maintain KPI frameworks and performance measurement systems.
- Assist in building scalable data models and automation pipelines.
- Stakeholder Collaboration
- Partner cross-functionally with Product, Finance, Marketing, and Operations teams.
- Translate business questions into data requirements and analytical deliverables.
- Present insights and recommendations to senior leadership.
- Mentorship & Best Practices
- Mentor junior analysts and foster a culture of data-driven decision-making.
- Define and standardize analytical best practices across the organization.
Who you are:
- You hold a Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field (Master’s preferred).
- You bring 5+ years of experience in data analytics, business intelligence, or a closely related role.
- You are highly proficient in SQL and at least one programming language such as Python or R.
- You have hands-on experience with modern BI and analytics tools like Looker, Tableau, Power BI, or Mode.
- You have a strong foundation in statistical analysis, data modeling, and A/B testing methodologies.
- You are comfortable working with large-scale datasets and cloud-based data environments (e.g., Snowflake, Eppo).
- You communicate insights clearly and effectively, using data storytelling to influence decision-making across technical and non-technical audiences.
- You think analytically and approach problems with curiosity, rigor, and a solutions-oriented mindset.
- You demonstrate strong attention to detail and a commitment to data accuracy and integrity.
- You bring solid business and product acumen, using data to drive impact and growth.
- You collaborate well with cross-functional partners, including product and growth teams.
- You thrive in fast-paced environments and are motivated by continuous learning and improvement.
Nice to have:
- Experience in telecommunications, SaaS, or consumer-facing product environments.
- Familiarity with machine learning concepts, predictive analytics, and experimentation platforms.
- Understanding of ETL processes and data warehousing fundamentals.
- Prior experience supporting product experimentation, growth analytics, or optimization initiatives.
100000 - 140000 CAD a year
