Scalable Global Solutions is looking for a Data Analyst for an international client, who’ll work closely with business process owners to support, optimize, manage and improve most business-critical applications.
Data Analyst Responsibilities:
Managing master data, including creation, updates, and deletion.
Managing users and user roles.
Provide quality assurance of imported data, working with quality assurance analysts if necessary.
Commissioning and decommissioning of data sets.
Processing confidential data and information according to guidelines.
Helping develop reports and analysis.
Managing and designing the reporting environment, including data sources, security, and metadata.
Supporting the data warehouse in identifying and revising reporting requirements.
Supporting initiatives for data integrity and normalization.
Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
Generating reports from single or multiple systems.
Troubleshooting the reporting database environment and reports.
Evaluating changes and updates to source production systems.
Training end-users on new reports and dashboards.
Providing technical expertise in data storage structures, data mining, and data cleansing.
Data Analyst Requirements:
Bachelor’s degree in computer science.
Work experience as a data analyst or in a related field.
Ability to work with stakeholders to assess potential risks.
Ability to analyze existing tools and databases and provide software solution recommendations.
Ability to translate business requirements into non-technical, lay terms.
High-level experience in methodologies and processes for managing large-scale databases.
Demonstrated experience in handling large data sets and relational databases.
Understanding of addressing and metadata standards.
High-level written and verbal communication skills.
|Position Title||Data Analyst|
|Language Skills||English C1, German B1 or higher would be beneficial|
Bachelor’s or master’s degree in statistics, mathematics, or a related subject involving maths, such as economics or data science. Other degrees are also acceptable if they include informal training in statistics as part of the course, for instance, sociology or informatics.
|Willingess to Travel (%)||0%|
Please be so kind and provide this as a PDF or a Word document as this makes processing your data easier. Applicants that have not provided a CV will not be considered in the process.
Scalable Global Solutions has growing demands for its Clients business, therefore we search and seek driven, motivated, experienced employees with a positive attitude fitting to our great corporate culture. If you are in search of a job with a long-term career perspective including training, travel and growing experience come join us.
Designing and maintaining data systems and databases; includes fixing coding errors and other data-related problems.
Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.
Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
Business development: The ideal candidate has a solid understanding and tracks record of developing and creating new business opportunities by communicating to the highest level within a corporation. Presenting and acquiring business in a top-down mentality by going to the decision-making level. Proven ability to present at C.E.O. / Decision Making level. Ability to drive a solution-driven approach
Technical Learning – picks up on technical things quickly; can learn new skills and knowledge; is good at learning new industry, company, product, or technical knowledge; does well in technical courses and seminars
Drive for Results – Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results
Planning – accurately scopes out length and difficulty of tasks and projects; sets objectives and goals; breaks down work into the process steps; develops schedules and task/people assignments; anticipates and adjust for problems and roadblocks; measures performance against goals; evaluates results
Decision Quality – makes good decisions based upon a mixture of analysis, wisdom, experience, and judgment; most of his/her solutions and suggestions turn out to be correct and accurate when judged over time; sought out by others for advice and solutions
Time Management – Uses his/her time effectively and efficiently; values time; concentrates his/her efforts on the more important priorities; gets more done in less time than others; can attend to a broader range of activities
Problem Solving – uses rigorous logic and methods to solve difficult problems with effective solutions; probes all fruitful sources for answers; can see hidden problems; is excellent at honest analysis; looks beyond the obvious and doesn’t stop at the first answers
Self-Development – is personally committed to and actively works to continuously improve him/herself; understands that different situations and levels may call for different skills and approaches
Reports to COO
We are seeking a minimum of 2 or more experienced Data Analysts.
The opportunity to grow internationally with Clients plus travel is a given if the right individual fits in our fantastic team. We put ample focus on culture fit fused with focus on knowledge and ability to deliver. If you are an agile individual that seeks to be successful in his/her career we welcome your application.
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