Position: Data Analyst
Company: Klik-Solutions
Category: Data Analyst
Experience required: 1y
English level: upper

Klik Solutions, a Baltimore-based managed service provider, is looking for a math geek with a good eye for numbers and trends aka Data analyst.

Who we are:
Klik Solutions is a Ukrainian company with headquarters in the USA. We are a rapidly growing Managed Services Provider (MSP), able to integrate as our clients' internal IT Support department, delivering an exceptional IT experience so that our clients can focus on new ways to advance business. Our IT services are about establishing, planning, managing and supporting IT structures for large- and medium-sized enterprises, start-ups, and non-profit organizations.

What makes us special:
— international company with top experts in modern technologies;
— modern equipment and tools;
— stable and competitive salary;
— flexible working schedule;
— solution-oriented working atmosphere with a fantastic team;
— individual learning curves;
— language courses and social benefits;
— possibility to work almost 100% remotely.

What we expect from you:
- Analytical and able to assist in management of complex business arrangements
- Ability to mine data from primary and secondary sources, then organize the data in an easily understandable format
- Prepare reports for management that effectively communicates trends, patterns, and predictions using relevant data
- Identify problems and propose solutions based on data analysis
- Natural ability to work with a wide range of people, both internally and externally
- Capacity to operate in an ambiguous and fast-paced environment

Your responsibilities would include:
- Understand data visualization techniques and libraries and their applicability to business problems.
- Perform exploratory data analysis to define analytical models.
- Develop advanced quantitative models using a variety of programs/software to support predictive assessments.
- Provide expertise for analytical, programmatic, strategic, and operational analysis.
- Explain analytics model behavior/results in the vernacular of business.
- Perform technical risk analysis and reliability assessments.
- Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques.
- Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
- Provide recommendations for plans, programs, strategies, policies and budgets.
- Design algorithms that require a number of different models/methods to be used in an ensemble.
- Deploy models into production.