Data Analyst

2 semanas atrás

Porto, Portugal Lovys Tempo inteiro

**About the Job**:
We are seeking an experienced data analyst to join our team. As a data analyst, you will be responsible for collecting, analyzing, and interpreting large sets of data that will lead into important business insights. You will often discuss reporting necessities with stakeholders while at the same time simplifying and standardizing the data processes across multiple partners.

Additionally, you will also work closely with our data engineering team to develop and implement important data processing pipelines that support business decisions.

**This position will be responsible for**...**
- Work collaboratively with cross-functional teams (Product, Marketing, Finance, etc) to understand the information requested and then map it into reporting/functional data requirements;
- Collect, analyze and consolidate data using SQL and BI tools;
- Interpret data and develop insights that inform business decisions;
- Perform quality assurance on our automatic reporting processes to ensure our output is accurate and within control parameters
- Proactively suggest improvements to current data analytics processes

**Required Qualifications**:

- Bachelor's degree in a quantitative fields such as statistics, mathematics, or computer science
- Around 2 or more years of experience as a data analyst or reporting analyst
- Experience with data analysis tools such as SQL, Excel, BI / Dashboards - necessary. Experience with Bigquery, Looker or Python is a plus.
- Strong data and business analytics background. Strong attention to detail.
- Good analytical, oral & written communication skills
- Good English language communication skills

**What we offer**: From a Data Analyst perspective you will find a data department working with the cutting edge technology stack: dbt to load the Data Warehouse, Fivetran, Big Query, Looker as our analytical tools. Your main tool will be Big Query, one of the most powerful databases, supported by an amazing team of Data Analysts and Data Engineers. There is a lot to do and it's a great opportunity to influence the direction we are going as a team and as a company.

Lovys is a company with Data in its heart. Our Data team is not a reporting department - we perform valuable data analysis that highly influence the business and operations.

Lovys is a startup company set to reshape the insurance business. Our Data department is expanding so this is the perfect opportunity to join, bring your knowledge and build something awesome that will make you (us) proud. You will also:

- Work with people from more than 14 nationalities
- Hybrid policy
- Creative and innovative environment
- Peer-to-peer training
- Opportunity to join to a great family
- Have great perks such as Health Insurance, Well-being app, employee experience platform
- And then we have our office...our Porto office is the coolest office you have seen

**About us**:
You don't like insurance?
That's good, neither do we. That's why we created Lovys.
Lovys is the first all-in-one 100% digital insurance.

In concrete terms: we offer a monthly insurance subscription as an alternative to old contracts. The difference? In addition to a 100% digital experience, the customer can change or cancel her/his subscription at any time, but also customize it according to his needs. Lovys is a technology company for insurance, founded in 2017 in the heart of Paris, France. We are a team of over 15 nationalities, working from 3 different countries (France, Portugal and Spain). We are already one of the biggest insurtechs in France and Europe and are growing very fast - so join this exciting journey We have raised +25M€ over time and we are committed to create something different in a very traditional industry.

Our Values
- We before me || We do not want to be individually right, we want to be collectively successful.
- Empowerment over criticism || We treat others for who they could become, rather than for who they are.
- Learning then obsessing || We scratch, then we drill. We listen, then we execute. We are good, then we are excellent.

Our CEO

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