Data Analyst | Data Team
miggo Open At a glance
Mid-level Data Analysis & BI role at miggo. Tel Aviv · full-time.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Dig into complex datasets and turn findings into decisions for product and engineering teams
- Set data-quality measures and track whether ecosystem data stays accurate, consistent and complete
- Trace data flows with engineers, spot anomalies and help improve collection pipelines
- Work with product managers to shape data findings into clear narratives that inform product direction
- Challenge weak assumptions and inconsistencies to uphold high standards for incoming data
What you bring
- At least five years as a data analyst or product analyst
- Strong SQL and NoSQL database skills, including efficient querying
- Use Python scripts to read, reshape and analyze data, with some familiarity with Python software and pipeline development
- Apply statistical knowledge to reach sound conclusions and build clear visualizations using Python libraries and Grafana
Who this fits
This mid-level role suits an analyst comfortable working across product and engineering, including with developers on data flows and pipelines. You will analyze and validate data rather than develop code yourself. Cybersecurity experience is an advantage.
From the employer
Miggo is looking for a Data Analyst who loves connecting the dots between data, product, and engineering. You’ll work closely with teams across the company to validate the integrity of our data and surface insights that help us build smarter, more reliable systems.
In this role, you’ll help us gather insights from the data collected by Miggo from various sources, onboard new data sources into the Miggo ecosystem, and ensure that we only ingest high-quality data into our systems. The insights you uncover will support the product team in making data-driven decisions and the engineering team in refining data pipelines - so you’ll need to feel comfortable working across both worlds.
What you'll do
- Dive deep into complex data to uncover actionable insights that drive product and engineering decisions.
- Define and monitor data-quality metrics to ensure accuracy, consistency, and completeness across our ecosystem.
- Collaborate closely with engineers to understand data flows, identify anomalies, and improve data collection pipelines.
- Partner with product managers to translate data into stories and guide product strategy.
- Continuously question assumptions, challenge inconsistencies, and strive for the highest data standards.
What you have
- 5+ years of experience as a data analyst or product analyst.
- Demonstrated ability to gather and present clear, relevant, data-based insights - including asking the right questions from the start.
- Strong experience working with both SQL and NoSQL databases - understanding how they work and how to run efficient queries.
- Strong experience using Python scripts to read, transform, and analyze data.
- Some familiarity with software and pipeline development in Python. You won’t be developing code yourself, but you’ll work closely with developers.
- Statistical knowledge that enables you to draw valid conclusions from datasets.
- Strong experience creating effective data visualizations (we use Python visualization libraries and Grafana).
- Experience and knowledge in the cybersecurity domain is an advantage.
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