Position: Senior Data Analyst
Company: Ciklum International
Category: Data Science
Experience required: 3y
English level: upper

**Responsibilities**

Lead the content domain analysis in the team from all aspects (modeling, quality assurance, data cleansing, analysis, and reporting)
Managing and designing the reporting environment, including data sources, security, and metadata
Generating reports and analysis from single or multiple systems
Provide quality assurance of imported data, working with R&D, and data engineers if necessary
Supporting the data warehouse in identifying and revising reporting requirements
Supporting initiatives for data integrity and normalization
Assessing tests and assisting with strategic decisions
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

**Requirements**

Deep business comprehension
Proven experience in data models and reporting packages
Ability to analyze large datasets
Demonstrated experience in handling large data sets and relational databases
Ability to write comprehensive reports
An analytical mind and inclination for problem-solving
Detail-attentive to a fault
Experience working with C-level and other stakeholders to assess potential risks
Ability to translate business requirements into non-technical, lay terms
Expert level of SQL
Good Knowledge of Excel and especially in data visualization
Mother-tongue level English paired with outstanding written and verbal communication skills
Entrepreneurial. Views data as a tool to understand and grow our business
Experience in building insight-enhancing data dashboards, and mentoring end-users to self-serve

**Desirable**

Knowledge of Vertica, Looker and Google Analytics, Python
Enhanced statistical knowledge
Experience with statistical/mathematical methodologies, data mining, machine learning
 

**Personal skills**
Self-didactic, eager to learn new things
Strong self- management, consistently meets and beats deadlines
Fun to work with, a team player

**What's in it for you**

Very close cooperation with the client
Possibility to propose solutions on a project
Dynamic and challenging tasks
Ability to influence project technologies
Team of professionals: learn from colleagues and gain recognition of your skills
Low bureaucracy, European management style