Data & Insights Analyst

2 months ago

Christchurch, New Zealand Partly Full time

**Our story**:
Partly's mission is to connect the world's parts and we're doing that by building the first global platform for replacement parts, starting with auto parts. Our big vision is to accelerate the world towards a sustainable future where waste is eliminated and all replacement parts are universally searchable, accessible and available to all.

Founded by ex-Rocket Lab engineers, we utilise cutting-edge technology to solve challenging but exciting problems that make a huge impact in a $1.9 trillion industry. We've more than tripled our team over the last 12 months and expect to double in size again over the coming 12 months. We're a global team spanning both Europe and Australasia.

We provide a scalable digital infrastructure solution to some of the world's largest businesses and the most exciting startups. Partly's solutions are integrated across hundreds of companies globally, providing the backbone for cataloguing and managing parts online.

Our investors in Blackbird Ventures (Canva, CultureAmp etc.), Square Peg, Octopus Ventures, Hillfarrance, Icehouse, Peter Beck (Rocket Lab), Akshay Kothari (Notion Co-Founder) and Dylan Field (Figma Co-Founder).

We're continuing to build a world-class team and ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built at Partly, and our values are lived throughout every experience.

**This role**:
In this role, you'll work collaboratively across the company and be responsible for ensuring Partly is becoming more data-centric and data-driven.

You will work across different teams and play a key role in enabling people to make informed decisions based on accurate and reliable data, providing valuable insights and recommendations to different Partly business units.

You will report to Eric Poulin (Senior Technical Product Manager)

**What will you do**:

- ** Data Integration and Management**: you will start from the ground up by building and being responsible for ensuring all data sources connect with each other, including catalogue data, product data, customer data, and financial data. You will work with teams across the organisation to identify data sources, map out data flows, and develop processes to ensure data integrity and consistency.
- ** Metrics and Dashboard Development**: you will develop and maintain dashboards and metrics that provide easy access to data for different teams across the company, working with Team Leads to identify key metrics and develop dashboards that drive the prioritisation of decisions and enables accountability.
- ** Data Preparation & Reporting**: you will prepare data for Monthly Business Reviews and Quarterly Board Meetings. This includes cleaning, transforming, and organising data to ensure it is accurate and usable.
- ** Collaboration and Communication**: you will work with various teams across the company, including product, engineering, finance, and operations, to ensure they have the data they need to make informed decisions. This includes collaborating with stakeholders to understand their data needs, providing guidance on data-related questions, and communicating data insights and findings.
- ** Data Analysis, Insights & Strategy**: you will use statistical and data analysis techniques to identify trends and patterns in data, and provide insights that drive business decisions. This includes conducting ad-hoc analyses to answer specific questions, identifying opportunities for improvement, and making recommendations based on data-driven insights.
- ** Data Quality Management**: you will establish data quality policies, procedures, and standards, including data security, privacy, and compliance. You’ll also work closely with our IT lead to ensure data integrity and security.

**Your skills**:

- ** You have the ability to analyse complex datasets, identify patterns and trends**, and make data-driven recommendations. You have a strong foundation in statistics and experience with data analysis tools such as Python, R, or SQL.
- ** You can present data in a clear and compelling way**, using tools such as Tableau, Looker, Power BI, or Excel to create charts, graphs, and other visualisations that communicate insights effectively.
- ** You can communicate complex data insights** in a clear and concise manner to technical and non-technical stakeholders. You can tailor your communication style to suit the audience, ensuring data insights are easily understood.
- ** You have strong business acumen**, including the ability to understand business goals and how your insights can contribute to achieving them. You are curious about the company's operations and can use data to help make informed business decisions.
- ** You can identify problems and develop data-driven solutions**. You have a creative and analytical approach to problem-solving, using data to guide decision-making.
- ** You have strong attention to detail** to ensure that the data you analyse is accurate a

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