Data Analyst

10000 - 13000 PLN brutto (UoP)

Poznań, Częściowo zdalnie

Regular / Senior

Full-time

• Firma:

  Pearson

• Wielkość firmy:

  20000+

• Zespół:

  Brak informacji

Wymagania

• Regular

  • SQL
  • Python
  • Firebase
  • Tableau
  • Google Analytics

Minimalna liczba lat doświadczenia w IT: 3

Opis pracy

We are looking for a Data Analyst to join Pearson’s Data & Analytics team.

We are looking for a uniquely talented individual who can turn data into insight and action. A Data Analyst consults with internal customers to understand their business questions, and then delivers analyses to meet those needs. Along the way, instrumentation is specified and deployed, data pipelines and processing defined, and visualizations built. The end results help optimize our customer experience and inform the entire product life-cycle from ideation to launch to constant improvement.

We are looking for strong critical thinking skills, the ability to navigate various data environments, hands-on technical ability in data, and a drive to understand our business. The successful candidate will be a thought partner to our customers and will assist them in understanding data and generating further questions. This individual will dig into raw and processed data (backend DBs, Google Analytics, and event/message data), transform information into visualizations using Tableau, R, Excel, etc., and effectively articulate the story behind the data.

Key Responsibilities

Prioritize, scope and perform in-depth analyses that drive and inform strategic and tactical decisions, especially related to product development, maintenance and growth initiatives.
Develop insights to answer complex questions via thorough and well-designed data analyses using SQL, Tableau, and other tools with a focus on product efficacy and the optimization of learning outcomes.
Identify information and visualizations required to tell a compelling and meaningful story using data; establish baselines and monitor growth or decline in metrics.
Prepare and present final reports for the stakeholders, management stating trends, patterns, and predictions.
Track and report on the status of deliverables in a project schedule. Serve as a point of contact to our business partners and cross-functional teams for day-to-day management of the Analytics Team roadmap.
Contribute to tools, documentation, and instruction to enable our customers to increasingly use data independently.
Support in creation and maintenance of databases, data systems (i.e. plan, schedules, and other documentation required to effectively manage deliverables to our customers).
Perform analysis to assess quality and meaning of data.
Maintain data quality.
Analyse, and interpret patterns and trends in complex data sets using statistical tools.
Review reports, codes of other team members to identify potential problems and improvements opportunities.

Competencies and attributes

Critical thinking and analysis
Attention to data
Excellent problem solving skills
Strong work ethics
Strategic thinking
Motivated self-starter
Effective communicator
Good time management

Qualifications and experience level

A master’s degree in data analysis, statistics, math or related field; or equivalent work experience
English - strong written and verbal language proficiency
3+ years’ experience in a highly analytical or quantitative function
Proficiency in data visualization: effective report/dashboard design and standards
Advanced SQL
Experience with Mobile and Web Analytics: Google Tag Manager, Google Analytics, Firebase,
Experience with Server Side tracking (logs, SDK messages)
Experience in blending Client and Server Side data streams to deliver complementary data picture.
Experience with Tableau BI, Google Big Query, Snowflake, Amazon S3.
Experience with data preparation, processing, classification, and forecasting
Familiarity with the software product lifecycle,
Familiarity with structured and unstructured databases
Knowledge and experience with Git/bitbucket, JavaScript, Phyton, R experiences will be an advantage

Specyfikacja pracy

• Open space

  

• Elastyczne godziny pracy