mindit.io is a Romania-based company that has become the meeting point for great attitudes and technical expertise. Here, we have created a sustainable intrapreneurial environment where people can grow both personally and professionally.
We are a flat organization that values flexibility, transparency, and feedback on the spot. In our portfolio of partners, you can find multiple industries, such as health, banking, travel-retail, payments, pharma, fintech, plant-based food. We offer various enterprise software development services, but we can also provide support, quality assurance, integration, and BI solutions.
We are continuously growing and bringing new opportunities for our people, to offer them a chance to develop in a direction of their choosing. We know that every one of our actions is a step towards the mindit.io vision, and we value constant input, to keep us on the right track.
Collaborate with business data owners/stakeholders to understand their data, their data needs, and the business context
Identify, analyze, and interpret trends or patterns in complex data sets and transform this information into comprehensible and enlightening insights tailored for the intended audience
Collect data from multiple sources, clean it and prepare it for operational and exploratory analysis
Document data definitions in a data dictionary and maintain them as part of metadata management
Set requirements for data quality, data lineage, data security, data privacy and other relevant aspects for business terms/data assets
Work in partnership with data engineers to define requirements and standards for data pipelines and transformations, ensuring alignment with broader team requirements
What we are looking for:
Has outstanding analytical skills—from unearthing valuable insights through querying data, to creating compelling visualizations for ease of understanding
Has a good understanding of how data is stored in databases and the ability to write SQL code to retrieve it (querying complex datasets)
Is proficient in analyzing large datasets in a spreadsheet program (e.g. Excel, Google Sheets) or in a programmatic analysis tool (e.g. Python with Pandas or R with dplyr)
Has a good foundation of math and statistical knowledge, including an understanding of descriptive statistics, probability, correlation, regression (use of statistical tools such as Python, R)
Is an excellent communicator who uses storytelling to bring insights to life and make connections on the business level
Has experience with at least one data visualization tool (e.g., Power BI, Tableau, Qlik Sense, R Shiny, Looker, SAS)
Exposure to Data Engineering/Data Warehousing practices and tools/platforms (Azure Synapse, Databricks, Google BigQuery, Amazon Redshift, Snowflake etc.) is a plus
Knowledge and experience with data modeling techniques and the development of conceptual, logical, and dimensional data models is a plus
English proficiency (both written and verbal); German is a plus
Education and Experience:
Bachelor’s/ Master’s degree in a technical field (e.g. Computer Science, Statistics, Engineering, Mathematics, Economics etc.)
Min 2 years of experience in a Data Analyst / Data Engineer / Business Intelligence Engineer role
minditNomad - all minditNomad homes are available to book by mindit.io people to build a flexible context for all colleagues to work and have fun in great locations across the country (Bucharest, Constanta, Comarnic, Cluj, Iasi, Sibiu)
An organizational culture that values employee contribution and empowerment
2 extra days of vacation designated for wellbeing
Free Therapy Sessions provided by mindit.io
Get to know us better here: www.mindit.io
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