Big Data Analyst

ReversingLabs is seeking a passionate Big Data Analyst to join their team in Croatia. The role involves transforming data into actionable insights for business decisions, managing master data sets, creating reports, and troubleshooting data issues. The successful candidate will perform complex analyses on large datasets, ensuring data quality and collaborating with various teams to achieve company goals. This position is crucial for enhancing decision-making processes and uncovering potential issues within their extensive file reputation database.

Must Have

• Gathering, cleansing, organizing, processing, and analyzing data
• Working with various database types (structured, semi-structured, unstructured)
• Developing reports and dashboards
• Identifying, analyzing, and interpreting trends in complex data sets
• Understanding data sources and lineage for quality control
• Collaborating with team members on requirements
• Implementing data validation and cleansing processes
• Performing routine analysis tasks
• Applying statistical analysis methods for consumer data research
• Maintaining and improving existing data pipelines
• Strong analytical skills with attention to detail and accuracy
• Experience with data visualization tools
• Solid understanding of data warehousing concepts and ETL/ELT processes
• Experience with programming languages (Python, Java)
• Experience with databases and writing queries
• Working proficiency in written and spoken English

Good to Have

• Knowledge of statistics and statistical packages for analyzing datasets
• Proficiency in creating complex data models, database design, and data mining techniques
• Expertise in using techniques like clustering, association rule mining, and customer segmentation
• Proven ability to understand and apply data insights to solve real-world business problems
• Experience in creating concise and informative analysis reports and summaries

Perks & Benefits

• Hybrid work options (paid accommodation & transportation to Zagreb during onboarding for remote employees)
• Flexible working hours
• Generous compensation and a bonus system based on annual performance
• Hefty personal education budget and possibility to attend leading conferences and seminars in the field
• Company library and possibility to order books of choice via Amazon
• Permanent contract in a fast-growing global company with Fortune 500 & governmental agencies as clients
• Challenging projects in a dynamic, collaborative team
• Great career advancement opportunities - clear goals & internal promotions
• Employee referral bonus program: EUR 1,060 net for junior position, EUR 2,123 net for mid to senior positions, and EUR 2,654 net for principal/managerial positions
• Multisport card, annual health checkup, newborn child allowance, rent-cost, and 3rd pillar pension benefits
• Wellness Weekends - quarterly, company-wide three day weekend, starting with a company paid Friday off for all employees
• Fully covered car garage in Radnička for all employees

Description

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At ReversingLabs, our software supply chain security and threat intelligence solutions have become essential to advancing cybersecurity maturity around the globe. We're on a journey to expand adoption and accelerate growth by hiring top talent across the security industry.

Notable breaches such as SolarWinds, CircleCI, and 3CX have elevated software supply chain security as a top initiative across every organization developing or purchasing software. Only ReversingLabs delivers the software package analysis speed and intelligence needed to protect against this critical area of risk.

Our vision is clear. Arming every company with end-to-end insights to ensure development releases securely, IT purchases safely, and the SOC can effectively detect, isolate, and respond.

We are looking for a passionate Big Data Analyst with a keen eye for detail and the ability to extract insights from data. The successful candidate will turn data into information, information into insight, and insight into business decisions.

You will be responsible for developing and managing our master data set, creating reports, and troubleshooting data issues. To succeed in this role, you need a keen eye for detail, some experience as a data analyst, and familiarity with popular data analysis tools and databases.

We offer file reputation records for over 50 billion samples, making our database the largest reputation database in its field. Our customers access this information through more than 50 REST APIs and feeds. By performing hands-on data research, you will provide insights, uncover potential issues, and enhance the decision-making process. You will perform complex analyses on large data sets using appropriate techniques and tools, with a strong focus on quality.

Only applications from candidates currently located in Croatia will be considered for this position.

Responsibilities

• Gathering data from various sources and then cleansing, organizing, processing, and analyzing it to extract valuable insights and information
• Working with various database types to handle large amounts of data in structured, semi-structured, and unstructured form
• Developing reports and dashboards (charts, tables, ...) with data analysis results to help different audiences make better decisions
• Identifying, analyzing, and interpreting trends or patterns in complex data sets
• Understanding sources and lineage of data to control the quality of our data sets
• Collaborating with team members to prioritize business and information requirements
• Ensure data quality by implementing data validation and cleansing processes
• Performing routine analysis tasks to support day-to-day business
• Applying statistical analysis methods for consumer data research and analysis purposes
• Maintain and improve existing data pipelines
• Closely collaborating with both the IT teams and customer-facing teams to accomplish company goals and prove value to our customers

Requirements

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• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Experience with data visualization tools
• Solid understanding of data warehousing concepts and ETL/ELT processes
• Experience with some programming languages (Python, Java, …)
• Experience with databases and writing queries
• Working proficiency in written and spoken English
• Enthusiasm for teamwork, constant learning, and adapting to new circumstances

Desired skills

• Knowledge of statistics and experience with statistical packages for analyzing datasets
• Proficiency in creating complex data models, database design, and data mining techniques
• Expertise in using techniques like clustering, association rule mining, and customer segmentation to uncover valuable insights
• Proven ability to understand and apply data insights to solve real-world business problems
• Experience in creating concise and informative analysis reports and summaries that effectively communicate key findings and recommendations

Benefits

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• Hybrid work options (paid accommodation & transportation to Zagreb during onboarding for remote employees)
• Flexible working hours
• Generous compensation and a bonus system based on annual performance
• Hefty personal education budget and possibility to attend leading conferences and seminars in the field
• Company library and possibility to order books of choice via Amazon
• Permanent contract in a fast-growing global company with Fortune 500 & governmental agencies as clients
• Challenging projects in a dynamic, collaborative team
• Great career advancement opportunities - clear goals & internal promotions
• Employee referral bonus program: EUR 1,060 net for junior position, EUR 2,123 net for mid to senior positions, and EUR 2,654 net for principal/managerial positions
• Multisport card, annual health checkup, newborn child allowance, rent-cost, and 3rd pillar pension benefits
• Wellness Weekends - quarterly, company-wide three day weekend, starting with a company paid Friday off for all employees
• Fully covered car garage in Radnička for all employees

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