• Design and implement reports according to the business needs of internal clients
• Designing and implementing data models
• Data visualization using advanced reports and dashboards
• Provide support for the preparation of reports for capital companies in the group.
• Support business processes by creating and maintaining reports for finance teams
• Translate requirements by the finance teams into technical reports
• Consequently improve data quality, utilizing processes, services, and tools
• Validate and test solutions, and provide training for users of reports
• Meeting all kinds of reporting needs arising in the company
• Developing the structure through Microstrategy Architect
• Collaborate with departments to derive data-driven decisions.

Skills: Report Design, Data Modeling, Data Visualization, Financial Reporting Support, Business Process Support, Requirement Translation, Data Quality Improvement, Solution Validation

• Execute BI projects based on priorities, translating business needs and requirements into objectives with acceptance criteria
• Deliver BI projects within specific timelines, based on reliable and accurate information
• Participate in promoting and implementing the chosen BI approach and toolset.
• Identify business stakeholders, classify and work with them based on information needs and technical acumen
• Participate in mentoring the BI community within Marel as well as advising and monitoring running BI projects to ensure their success
• Work closely with IT to make data available for users to create a strong BI platform, advancing Marel’s BI maturity
• Collaborating with Business and Technical Analysts to develop requirements-gathering tools and processes and facilitate these activities
• Collaborating with Data Architects, BI Architect, and ETL Development teams to design robust Business Intelligence solutions
• Eagerness to learn new tools and technologies and maintain awareness of industry developments
• Use judgment and analytical skills through experience and proactively ask the relevant questions to clarify requirements or to analyze an issue

Skills: Project Management, Business Analysis, Stakeholder Management, Team Collaboration, Mentoring and Advising, BI Platform Development, Requirement Gathering and Analysis, Continuous Learning

• Drive the successful implementation and adoption of Data Warehouse and support a growing user population long term.
• Educate the organization on the data content in the Enterprise Data Warehouse
• Assist data users directly including one-on-one support, training, troubleshooting and data analysis.
• Act as a change agent by collaborating with business owners and data analysts 
• Determine business information needs and identify future reporting requirements.
• Collaborate with Management, Enterprise and Departmental Data Architects and database development teams
• Help develop the strategy for the growth of the Data Warehouse content and use.
• Maintaining an understanding of business processes in a changing healthcare landscape
• Developing user guides and training material to support a robust business user community
• Collaborate with colleagues and internal customers as a technical mentor sharing technical information, knowledge

Skills: Data Warehouse Implementation, Data Education, User Support, Change Management, Requirement Analysis, Collaboration, Strategy Development

• Report to the Sales Ops Manager and Data Quality Manager
• Learn the informational needs across a range of stakeholders and markets
• Reports for executives and management of various departments 
• Assist the Country Manager, Head of CS, and Manager inside the company with obtaining critical information
• Derive facts from data and translate them into actionable insights and recommendations
• Support the business by identifying opportunities and making intelligent, data-driven decisions
• Develop advanced analytical tools, and provide user support on related issues.
• Improving and supporting data warehouse and business intelligence systems
• Creating a scope for the report or application by analyzing the needs
• Completing the work on time and in line with the general scope created
• Maintaining the integrity and performance of the system and assuring 
• Analyze customer requirements and develop proposals for technical solutions

Skills: Data Analysis, Stakeholder Communication, Report Writing, Technical Skills, Business Acumen, Data Management, Project Management, Solution Development

• Lead Business Intelligence efforts of the entire organization.
• Provide full and real-time transparency to all stakeholders.
• Understand underlying business challenges and communicate accurate data insights.
• Design and implement Business Intelligence tools, and build and improve the data warehouse.
• Closely work with the product development team, and processes accurate monthly sellout data reporting
• Communicates with external data providers (Iqvia, Nielsen, Sprinx, DunnHumby)
• Provides comprehensive customer snapshots through precise external data processing (Nielsen, DunnHumby)
• Creates data insight as an output of meetings and collaboration with marketing, KAM category management
• Presents insights to the stakeholders with the clear next step of using the insight for the benefit of positive change in the business
• Simplifies sell-out views and makes them clear, user friendly and effective in terms of UI visualization (master data, new dimensions)
• Develops new reports as part of the reporting strategy to cover all business needs

Skills: Business Intelligence Leadership, Stakeholder Transparency, Business Acumen, BI Tool Design and Implementation, Cross-functional Collaboration, External Data Processing, Effective Communication, Data Visualization

• Coordinate with verticals and teams to prepare comprehensive monthly/quarterly performance reports 
• Track the company's progress to achieve long-term business goals. 
• Alert management on overall organizational business health, potential business issues 
• Solve and areas to improve via data preparation and automatic dashboard set-up to identify key organizational patterns and trends.
• Keep an overview of competitors' insights and market insights with both internal tracking exercises and external market reports
• Gain new customer insights via user and market research and data analysis related to users/customers' behavior
• Conduct reporting on data such as SEO, social, conversion, website performance, campaigns, etc.
• Continuously monitor performance, assist in identifying KPIs, and set benchmarks
• Use quantitative and qualitative metrics to communicate progress and identify meaningful trends
• Conduct troubleshooting and problem-solving about data discrepancies and data trendlines
• Assist in various reporting and analysis requests within the Marketing team, as well as other internal teams

Skills: Reporting, Strategic Planning, Market Research, Dashboard Creation, KPI Management, Quantitative and Qualitative Analysis, Troubleshooting, Cross-Functional Collaboration

• Build reports and tools for the management, marketing, and sales teams
• Dig out the actionable insights from large data sets 
• Optimize and extend data modeling, considering best practices and scalability
• Integrate with custom data warehouse and external data providers
• Collecting data and analyzing business results or setting up and managing new studies
• Managing data into a new shape to make it more appropriate for analysis
• Creating new experimental frameworks to collect data
• Building tools to automate data management
• Searching through large data sets and identifying potentially usable business information
• Creating reports and presentations for business uses
• Correlating similar data to find actionable results

Skills: Data Analysis, Data Modeling, Report Generation, Integration, Data Collection and Management, Experimental Design, Automation, Business Communication

• Experience in processing large amounts of data and be familiar with SQL, Big Query, Data Studio, Superset, etc.
• Strong analytical, and problem-solving skills and attention to detail
• Strong story-telling skills, and the ability to translate data into business insights
• Have a user empathy or a user-focused mindset
• Proficiency or experience working with data visualizations
• Strong understanding of the entire business ecosystem and related KPIs
• Excellent teamwork skills to collaborate with cross-teams in the whole company
• Knowledge of R, SQL, and Python, and familiarity with Scala, Java, or C++
• Hands-on experience using business intelligence tools (Tableau or Power BI), data frameworks (Hadoop), web analytics technologies (Google Analytics)

Qualifications: BA in Business Administration with 5 years of Experience

• Experience working with SQL-based implementations and comfort operating in data-warehouse environments such as Google BigQuery or similar.
• The ability to write functions in Python or similar
• Ability to work with APIs to extract data from sources where ready connectors may not exist.
• Ability to convey insights effectively through visualizations in BI tools (Google Data Studio, Power BI, Tableau, etc.)
• Experience using data pipeline tools such as Stitch, Supermetrics, Hevo, Stitch, Funnel or similar.
• Knowledge of Google Analytics and data from marketing platforms (Facebook/Instagram Ads, Google Ads, Google Search Console0
• Basic understanding of Javascript, HTML, and CSS.
• Exceptional analytical and problem-solving skills.
• The ability to work autonomously and as part of a team.
• Ability to manage multiple tasks, and adhere to time pressures and deadlines.
• Experience leveraging the various components of Google Cloud Platform (Such as Cloud storage, Cloud Functions, App Engine, etc.)

Qualifications: BS in Computer Science with 3 years of Experience

• Experience working with databases, reporting on data, and working in an analytical capacity
• Prior working experience as a Data Scientist or Data Analyst in data mining
• Strong analytics ability, and statistical or mathematical modeling
• Understanding of machine learning and operations research
• Familiarity with MS SQL, Big Query and CRM solutions (SalesForce)
• Experience working with marketing campaigns, vendors and systems. 
• Understanding of marketing KPIs, and being comfortable with processing and analyzing marketing data.
• Strong business acumen and problem-solving aptitude
• Ability to extract meaning and suggest action items from data, not just report metrics.
• Excellent communication and presentation skills

Qualifications: BA in Economics with 6 years of Experience

• Experience in a position monitoring, managing, manipulating and drawing insights from data (preferably in a Financial industry)
• Working experience managing and developing performance analysts
• Experience with very large databases and/or data warehousing (AWS, quick sight, sage maker)
• Experience with working cross-functional project teams and driving tasks to completion with a proven track record
• Must have marketing domain expertise
• Hands-on experience in consumer-oriented marketing analysis (segmentations, user surveys, storytelling about consumers, brand positioning, etc.)
• Experience optimizing multi-channel programs across the buyer’s journey
• Experience with online advertising platforms such as AdWords (Google and Microsoft), Social (Facebook, Instagram, LinkedIn, TikTok, Pinterest), Display Network
• Advanced in data integration, segmentation, and reporting within a CRM and Marketing Automation system (AWS, Salesforce, HubSpot)
• Hands-on experience in tactical marketing analytics (marketing mix and attribution modeling, campaign performance analysis, ROI estimates, and lifetime value modeling)

Qualifications: BS in Information Technology with 4 years of Experience

• Working experience using behavioral triggers and digital media buying
• Strong understanding of digital media, eCommerce business models
• The ability to manage multiple projects simultaneously against tight deadlines
• Ability to track, measure, and report on results of various marketing functions to determine ROI
• Proven ability to build successful teams, while possessing a collaborative, and humble leadership style
• Strong project management skills, ability to successfully work with multiple stakeholders to achieve the project’s objectives
• Sound working knowledge of statistical analysis in R Python or SAS. 
• Expert skill level with Microsoft Excel, and Microsoft Access
• An analytic thinker with keen business insights to support senior teams
• Skilled at condensing analysis into actionable insights to inform business decisions and influence/transform business performance

Qualifications: BA in Data Analytics with 6 years of Experience

• Experience and knowledge of statistical modeling techniques
• Hands-on statistical modeling (such as regression modeling, a/b testing, significance testing, etc.)
• Knowledge of machine learning (such as predictive modeling, decision trees, classification models, clustering techniques)
• Strong interpersonal and communication skills (both written and oral)
• The ability to effectively present technical, business, and project progress to multiple stakeholders.
• Able to communicate complex data analysis into a “story”
• Ability to support senior management teams to accomplish company initiatives
• The ability to succeed in a large, highly-collaborative, cross-functional organization
• Proved to be a quick learner with strong problem-solving/analytical skills enabling the resolution of issues
• The ability to propose and support the implementation of alternative solutions and support in execution.

Qualifications: BS in Mathematics with 5 years of Experience

• Experience in Building and Designing cloud applications using Microsoft Azure cloud technologies like Azure DevOps (VSTS), AZURE, GitHub, PowerShell, Azure CLI, Dockers, and Kubernetes.
• Good understanding of Azure Data Services including ADF, ADLS, Blob, and DataBricks with a background in Hive, Python, and Spark.
• Working knowledge of SQL Server, SQL Azure Database, No SQL, Data Modeling, Azure AD, ADFS, Identity and Access Management.
• Understanding of .NET Core, .NET 4.5 Framework, Entity Framework, C#, Web Services, RESTful Services, Angular.
• Passion for both business understanding and leveraging data to improve business processes and support decision-making.
• BI or data analyst experience (ideally in an enterprise environment across multiple application systems and business functions
• Demonstrated successes in data analysis, conclusion, and improvement.
• Working experience in BI tools (Tableau), querying databases (SQL), ETL tools (e.g. Alteryx, Paxata, Informatica) and bulk data manipulation
• Working experience in the analytical toolkit (e.g. SPSS, SAS, R, or Python) desired.
• Experience with Agile methodologies and frameworks

Qualifications: BA in Management Information Systems with 3 years of Experience