Informacje o stanowisku

At Meniga our mission is to help people lead better & more sustainable financial lives. We do this by working with financial institutes worldwide to make their digital banking experience fun and engaging using our software. Today we are serving 100+ million digital banking users across 30+ countries. We are a team of product experts, data experts, architects, developers, and project managers, who are shaping the future of financial technology. Meniga’s offices are in London, Reykjavik, and Warsaw.  

We are seeking a detail-oriented Data Enrichment Specialist to join our team, who will play a crucial part in enhancing data quality and transforming data into insightful information for our customers. As a Data Enrichment Specialist, you will be responsible for identifying data gaps, sourcing new information, and improving existing datasets to support our product development and enhance customer experience. Your analytical skills will be essential as you evaluate large volumes of data to determine accuracy and relevance, employing various methodologies for data verification. You will work closely with cross-functional teams to provide enriched data insights. We are looking for a passionate individual who thrives in a fast-paced environment and is eager to contribute to our mission of delivering innovative digital banking solutions. If you have a knack for transforming raw data into actionable intelligence and possess strong problem-solving abilities, we encourage you to apply and become a valuable member of Meniga team. 

What we offer

At Meniga, our goal is to have motivated, engaged, and healthy employees. To nurture and promote these areas, we offer benefits related to:  

• Health and Benefits: Private healthcare, fitness allowance, and leave benefits.
• Supportive Work Environment: Work-life balance, hybrid working, meal allowance, team-building events, and reimbursement for internet/phone subscriptions.
• Growth Opportunities: International projects and career advancement.
• Financial Rewards: Competitive salaries, performance-based bonuses, and ESOPs.

• Minimum of 5 years’ experience in data enrichment, data analysis, or a similar role, preferably in the banking or financial services industry
• Strong understanding of statistical methods and data modelling techniques, to make data-driven recommendations
• Proficiency in data analysis and visualization tools such as SQL, Python, R, Tableau, or Power BI
• A solid technical foundation, with a keen understanding of APIs and their application
• Familiarity with database management and experience in handling large datasets for analysis
• Excellent problem-solving skills with strong attention to detail and accuracy
• Effective communication skills, with the ability to present data findings to both technical and non-technical audiences
• Bachelors degree in Data Science, Statistics, Computer Science, or a related field
• Fluent English, with the confidence to actively participate in global client meetings
• Ability to work 2 days per week from the office
• Ability to travel worldwide up to 1 week per month

At Meniga our mission is to help people lead better & more sustainable financial lives. We do this by working with financial institutes worldwide to make their digital banking experience fun and engaging using our software. Today we are serving 100+ million digital banking users across 30+ countries. We are a team of product experts, data experts, architects, developers, and project managers, who are shaping the future of financial technology. Meniga’s offices are in London, Reykjavik, and Warsaw.  

We are seeking a detail-oriented Data Enrichment Specialist to join our team, who will play a crucial part in enhancing data quality and transforming data into insightful information for our customers. As a Data Enrichment Specialist, you will be responsible for identifying data gaps, sourcing new information, and improving existing datasets to support our product development and enhance customer experience. Your analytical skills will be essential as you evaluate large volumes of data to determine accuracy and relevance, employing various methodologies for data verification. You will work closely with cross-functional teams to provide enriched data insights. We are looking for a passionate individual who thrives in a fast-paced environment and is eager to contribute to our mission of delivering innovative digital banking solutions. If you have a knack for transforming raw data into actionable intelligence and possess strong problem-solving abilities, we encourage you to apply and become a valuable member of Meniga team. 

What we offer

At Meniga, our goal is to have motivated, engaged, and healthy employees. To nurture and promote these areas, we offer benefits related to:  

• Health and Benefits: Private healthcare, fitness allowance, and leave benefits.
• Supportive Work Environment: Work-life balance, hybrid working, meal allowance, team-building events, and reimbursement for internet/phone subscriptions.
• Growth Opportunities: International projects and career advancement.
• Financial Rewards: Competitive salaries, performance-based bonuses, and ESOPs.

,[Collect, analyze, and verify data from multiple sources to enhance existing datasets , Identify and resolve data discrepancies to maintain data integrity and accuracy , Work closely with stakeholders to understand their data needs and configure enrichment processes accordingly , Perform statistical analysis to identify trends, patterns, and relationships within large data sets , Maintain and update data documentation for processes, methodologies, and enhancements , Utilize data analysis tools to identify patterns and trends within datasets for better insights , Collaborate with engineering teams to implement automated data enrichment solutions , Prepare detailed reports and presentations on data quality and enrichment initiatives , Assist in designing and implementing data collection systems and other strategies to optimize statistical efficiency and data quality , Provide support in data-related projects, ensuring timely and accurate completion of analyses  Requirements: SQL, Statistical methods, Data modelling, Data analysis, Python, R, Tableau, Power BI, Problem-solving, Data science, Statistics, Computer Science, Finance background, Banking experience Additionally: Sport subscription, Private healthcare, Lunch card, Small teams, International projects, Flat structure, Weekly breakfast, Free coffee, Bike parking, Playroom, Free snacks, Modern office, Startup atmosphere, No dress code.

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