Data Analyst

Wiliot; Lisboa; Hybrid; EUR 40,000 - 60,000; Full time

Benefits offered by this job

Hybrid work

Job summary

Wiliot in Portugal (Lisboa) seeks a Data Analyst to turn large IoT data streams into actionable insights and to support decision-making with robust analytics. You will work with product and customer teams to translate findings into practical solutions, build dashboards, and present results to customers.

The role requires 4–5 years of relevant experience, strong Python and SQL skills, and proficiency with visualization tools such as Plotly, Tableau, PowerBI, and Grafana.

Qualifications

• Bachelor's degree in Math, CS, data science/engineering or equivalent analytical degree.
• 4–5 years of professional data analytics experience.
• Architecture experience in big data and data warehousing.
• Strong Python skills and SQL proficiency.
• Experience with SPARK and visualization tools (Plotly/Tableau/PowerBI/Grafana).
• Experience with IoT data streams is a plus.
• Excellent communication and problem-solving abilities.

Responsibilities

• Participate in customer meetings to identify pain points.
• Develop visualization interfaces to maximize data value.
• Mold real-time data streams into actionable insights.
• Hunt for new insights in customer deployments.
• Build and deliver technical presentations to customers.
• Collaborate with engineers and product teams to implement solutions.

Skills

Python

SQL

Data Visualization

Education

Bachelor's degree in Math, CS, data science/engineering or equivalent analytical degree

Tools

Plotly

Tableau

PowerBI

Grafana

Spark

InfluxDB

Job description

Data Analyst

Portugal

Wiliot was founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the world’s largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo.

This role offers a unique opportunity to engage in tactical data exploration and to build out solutions on top of the insights you identify. You will sift through massive amounts of data to discover “Ah ha!” moments for key customers that connect the dots between our technology and their key problems. You will then work with internal teams, and key customer teams to turn these insights into integrated solutions. Creativity, curiosity, and resilience are key for this role as you often won’t know what we’re looking for until we’ve found it.

Responsibilities

• Participate in customer meetings and carefully listen for pain points and business problems
• Develop visualization interfaces (internally and in customer systems) to maximize data value and useability in the customer business context
• Mold real time series data stream into actional insights
• Hunt to uncover new insights in data generated by customer deployments
• Build and deliver technical presentations to customers
• Communicate effectively with engineers from many disciplines (including algorithm, software, and hardware engineers)
• Work with internal product teams and customer teams to turn insights into integrated solutions.

Requirements

• Bachelor's degree in Math, CS, data science/engineering or equivalent analytical degree
• 4-5 years of relevant professional experience
• Architecture experience in big data, data warehousing, operational analytics and integration.
• Optimize the performance of big data systems to design and implement efficient analytics algorithms.
• Strong Python skills
• Experience with SPARK strongly preferred.
• Visualization tools experience including UI design (Plotly, Tableau, PowerBI, Grafana)
• Understanding of statistical analysis and relational database structures (SQL,Influxdb a plus)
• Strong analytical and quantitative problem-solving abilities
• Excellent interpersonal and communication skills
• Ability to be self-sufficient and execute quickly when given autonomy
• Experience with IoT data streams and business context a plus
• Flexible team player who will thrive in a dynamic, constantly evolving environment

#LI-Hybrid