Senior Sales Analyst

LNRS Data Services Ltd Company; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading data services firm based in Greater London is looking for a Senior Data Engineer to join their Sales Operations team. The role involves creating data models, optimizing data pipelines, and collaborating with analytics teams. Ideal candidates will bring strong experience in data engineering practices, expertise with SQL, Python, and cloud technologies like Azure. Benefits include a generous holiday allowance, private medical benefits, and opportunities for personal development.

Benefits

Generous holiday allowance

Health screening and private medical benefits

Access to a competitive contributory pension scheme

Electric Vehicle Scheme

Maternity and paternity leave

Qualifications

• Proven experience in data engineering.
• Strong experience with ETL processes.
• Expertise in relational and NoSQL database technologies.
• Knowledge of cloud platforms like Azure and AWS.
• Experience with version control systems, like Git.

Responsibilities

• Create and manage data models and data warehousing solutions.
• Write and maintain structured queries.
• Enable integration of apps and services.
• Collaborate with cross-functional teams.
• Build pipelines to transform raw data.

Skills

Data engineering

Data modeling

SQL

Python

ETL processes

Collaboration

Tools

Azure

Databricks

AWS

Git

Job description

About the Role

The Sales Operations team is in a transformative phase, moving into our second full year in the business. We're looking for enthusiastic data professionals who are eager to embrace managing change to support our sales leaders. The focus will be on leading indicators of performance to sustain our sales growth path as well as supporting the provision of insights and data support for our other Centres of Excellence. As a senior member of the team, you will be guiding best practices in managing data models that support this objective, as well as getting deeply involved in leveraging AI to enhance the accuracy of complex models, ensuring the business aligns on a single source of truth.

Responsibilities

• Create and manage data models and data warehousing solutions
• Write and maintain structured queries
• Utilise programming languages like Python, SQL for data processing tasks
• Enablement of integration of apps / services and connecting to internal and third-party APIs
• Collaborate with cross‑functional teams to ensure seamless integration of data processes
• Optimise data pipelines for performance and efficiency.
• Work closely with Stakeholders and other analysts to support their insight & data needs.
• Build pipelines to transform raw, unstructured data into useful information by leveraging AI and LLMs

Requirements

• Proven experience in data engineering and proficient in designing and implementing scalable data architectures.
• Strong experience with ETL processes, data modelling, and data warehousing (azure, databricks)
• Expertise in database technologies, both relational (SQL) and NoSQL.
• Knowledge of cloud platforms (Azure / AWS)

Solid understanding of data security measures and compliance standards.

Collaborative skills to work closely with data scientists and analysts.

Ability to optimize data pipelines for performance and efficiency.

Ability to build, test and maintain tasks and projects.

Experience with version control systems, like Git.

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer :

• Generous holiday allowance with the option to buy additional days
• Health screening, eye care vouchers and private medical benefits
• Wellbeing programs
• Access to a competitive contributory pension scheme
• Save As You Earn share option scheme
• Travel Season ticket loan
• Electric Vehicle Scheme
• Optional Dental Insurance
• Maternity, paternity and shared parental leave
• Employee Assistance Programme
• Access to emergency care for both the elderly and children
• RECARES days, giving you time to support the charities and causes that matter to you
• Access to employee resource groups with dedicated time to volunteer
• Access to extensive learning and development resources
• Access to employee discounts scheme via Perks at Work

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please contact us at 1-855-833-5120.

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