Full-Time

Product Analyst

Posted on 12/3/2024

dataplor

dataplor

51-200 employees

Provides accurate global Points of Interest data

Data & Analytics
Consulting

Mid, Senior

Remote in USA

Remote position in the USA time zone, with optional office locations in Honolulu, San Francisco, New York, and West Palm Beach.

Category
Product Analytics
Product
Required Skills
Agile
Python
R
Machine Learning
Postgres
Data Analysis

You match the following dataplor's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 4-8 year proven track record as a product analyst, data analyst, or similar role
  • Expert in PostgreSQL and data analysis, experience with Python, R, or other programming languages is a plus
  • Familiarity with concepts such as: Geospatial data capture, ingest, and analysis; AI/ML algorithms (recommendation engines, application of transformers for human automation, etc.); Internal dashboard development and maintenance
  • Experience working cross-functionally in Agile and/or ShapeUp environments
  • Ability to understand customer feedback and requirements and translate them into data analysis to answer real questions
  • Experience working in an early stage startup environment and the ability to operate independently while staying aligned with company goals
Responsibilities
  • Coordinate with Product Management and Engineering on the improvement of existing products and development of new features and products
  • Push for innovation where the geospatial industry or our own internal methods have become stagnant
  • Support the development of AI based products and processes to ensure we are meeting expected quality standards
  • Investigate current and prospective customer feedback, providing insight and recommendations to internal and external teams
  • Identify trends and anomalies in our data to recommend data-driven solutions and improvements
  • Act as a bridge between the internal data operations team and the engineering and product teams to help ensure data quality initiatives are supported and reflected on the Product Roadmap
  • Present findings and insights in clear, actionable formats to both technical and non-technical audiences
  • Maintain a problem solver mindset, digging into issues presented by internal and external teams to identify the root cause
  • Create and maintain dashboards and reports to monitor key performance indicators (KPIs) across products to maintain alignment with broader business objectives
  • Analyze market trends, customer needs, and competitor offerings to inform product strategy
  • Stay updated on industry best practices and emerging technologies

Dataplor provides accurate Points of Interest (POI) and territory data for businesses, investors, and market analysts globally. Their services help clients make informed decisions by offering precise and actionable data. Dataplor's product works by enriching existing systems with real-time POI data, allowing clients to understand where their products are sold and analyze the competitive landscape. Unlike competitors, Dataplor emphasizes advanced qualitative Key Performance Indicators (KPIs) and has a strong Quality Control (QC) process to ensure data reliability. The company's goal is to support effective investment decisions and sustainable growth strategies by delivering exceptional global data tailored to the needs of its clients.

Company Stage

Series A

Total Funding

$16.6M

Headquarters

Manhattan Beach, California

Founded

2016

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

-3%

2 year growth

3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnership with Cytora enhances real-time location data for insurance risk assessment.
  • Series A funding of $10.6M supports expansion of global location intelligence.
  • Growing demand for global location intelligence aids competitive analysis and market opportunities.

What critics are saying

  • Competition from established geospatial data providers like HERE Technologies and Esri.
  • Rapid advancement of AI-driven data analytics tools by competitors like SafeGraph.
  • Potential data privacy concerns and regulations, especially in the European Union.

What makes dataplor unique

  • Dataplor offers advanced qualitative KPIs beyond traditional data metrics.
  • The company provides real-time global POI data for competitive landscape mapping.
  • Dataplor's industry-leading QC process ensures reliable data for accurate business forecasting.

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Benefits

Health Insurance

Flexible Work Hours

Remote Work Options

Professional Development Budget

INACTIVE