Data Scientist

iitjobs; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An innovative firm is seeking a skilled data analyst with a strong background in business analysis and data engineering. This role involves conducting statistical analyses, creating impactful visualisations, and working collaboratively within a team to achieve shared objectives. With a focus on data preparation and analysis, the ideal candidate will have experience with SQL and familiarity with GCP BigQuery. This position offers a dynamic work environment where your contributions will directly influence business decisions and strategies. If you are passionate about data and eager to make a difference, this opportunity is perfect for you.

Qualifications

• 2+ years of experience in business analysis and data engineering.
• Strong skills in SQL and data visualisation techniques.

Responsibilities

• Conduct statistical analysis including A/B testing and time series.
• Create dashboards and business presentations for data insights.

Skills

Business analysis

Data visualisation

Data engineering

SQL

Python

GCP BigQuery

Oracle PL/SQL

Agile methodologies

Soft skills

Education

Bachelor's degree in a relevant field

Job description

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Job Requirements

1. Business analysis: Conducting statistical analysis such as time series, A/B testing, and multivariate tests.
2. Data visualisation: Creating business presentations and dashboards.
3. Commercial product analysis: Experience in analyzing commercial products.
4. Data engineering: Pulling data from databases, joining multiple sources, and aggregating data for extraction, preferably using SQL; Python skills are a plus. Since data preparation accounts for approximately 25% of the role, a technical background and comfort with data activities are essential.
5. Technical experience: GCP BigQuery and Oracle PL/SQL experience are advantageous.
6. Soft skills: Cooperative and positive attitude in a team setting to achieve common goals.
7. Additional skills: Ability to act as a data analyst, including data models, requirements, and data flows, is a plus.
8. Experience: At least 2+ years in the relevant field or equivalent.
9. Methodologies: Practical experience with Agile methodologies is preferred.

This version improves clarity, structure, and readability while maintaining the original content and requirements.