Senior Product Data Analyst

What this job can offer you

The team

This is an exciting time to join the growing Data Team at Remote, which today consists of over 15 Data Engineers, Analytics Engineers and Data Analysts spread across 10+ countries. Throughout the team we're focused on driving business value through impactful decision making.

2024 is a transformative year for us where we've been laying the foundations for scalable company growth across our data platform, which truly serves every part of the Remote business. This team would be a great fit for anyone who loves working collaboratively on challenging data problems, and making an impact with their work. We're using a variety of modern data tooling on the AWS platform, such as Snowflake and dbt, with SQL and Python being extensively employed.

The position

Senior Data Analyst, Product Analytics is a key hire for our Data Analytics team. This individual will help spearhead our team’s partnership with the Product organisation at Remote, building relationships, generating insights, guiding product decisions, and enhancing user experiences. The ideal candidate should have a strong analytical mindset, excellent communication skills, and a history of providing actionable insights that influence product strategy and performance, which will shape the future of Remote.

What you bring

• Significant experience working closely with product development teams, defining and delivering insights and analysis for digital products, and impacting key product decisions.

• Extensive familiarity with event tracking taxonomy design, event tracking tools such as Rudderstack or Segment, and product analytics visualization tools like Mixpanel or Amplitude.

• Strong knowledge of product metric design frameworks and implementation, assisting and enabling product teams throughout the lifecycle of measurement of their KPIs.

• Excellent problem-solving skills and attention to detail, with the ability to translate complex data into actionable insights and recommendations.

• Ability to build effective relationships and collaborate with product leadership.

• Familiarity with data visualization tools like Metabase or Looker.

• Proficiency in SQL and data modelling (preferably dbt).

• Excellent communication and ability to document processes for both business and technical audiences, in English.

• Strong organizational and project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment.

• Python experience is considered a plus.

• It's not required to have experience working remotely, but considered as a plus.

  
  

Key Responsibilities

• Collaborate with cross-functional teams including product managers and engineers, to define analytics requirements and prioritize initiatives.

• Spearhead efforts to define and implement a robust product metrics framework, to proactively measure and report the performance of key product lines and features.

• Contribute to our education and enablement efforts so that Product teams are able to implement and QA event taxonomies following well-defined best practices, and able to self-serve insights on customer behaviours.

• Analyze large datasets to extract actionable insights related to user behaviour, product usage, and feature performance.

• Develop and maintain KPIs and dashboards to monitor product metrics and identify insights.

• Work alongside data engineers, analytics engineers, and data analysts to collect the right data, to build out our data warehouse in dbt, and to properly deliver product models and metrics.

• Mentor and support junior analysts by providing guidance, sharing best practices, and promoting a culture of continuous learning and development

Practicals

• You'll report to: Team Lead, Data Analytics

• Team: Engineering - Data

• Location: Anywhere

• Start date: As soon as possible

  
  

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce.  We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.The base salary range for this full-time position is USD 39,800 to USD 89,550. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis.

Application process

1. Interview with recruiter

2. Interview with future manager

3. (async) Take home exercise + Review

4. Interview with team members (no managers present)

5. Interview with Data Director

6. Bar Raiser interview

7. Offer + Prior employment verification check 

Apply here: https://remote.com/openings/6644944003?utm_source=trulyremote.co#application-form