Job Description

We are seeking a highly analytical and technically proficient Digital Analytics Specialist to join our Analytics team. This role is crucial for understanding media and Website business needs and translating them into robust analytical solutions. The ideal candidate will possess a strong blend of analytical acumen, technical expertise in data manipulation and visualization, and a deep understanding of digital marketing principles. You will be instrumental in building data products that range from insightful dashboards to complex analytical models and efficient data pipelines, all aimed at improving process efficiency and driving business growth.

Analytical Prowess:

Demonstrated strong analytical, problem-solving, and critical thinking skills with the ability to interpret complex data and draw meaningful conclusions.

Digital Marketing Expertise:

Solid understanding of digital marketing concepts, channels (e.g., paid search, social, display, SEO), and metrics (e.g., impressions, clicks, conversions, CPA, customer Journey, Optimisation).

Business Intelligence Tools:

Proven proficiency in designing and developing dashboards and reports using leading BI tools such as

Microsoft Power BI

and

Qlik Sense

.

Programming Languages:

Strong command of

Python

for data manipulation, analysis, and scripting, along with expert-level proficiency in

SQL

for querying and managing large datasets.

Cloud Environment:

Familiarity and hands-on experience working within the

Google Cloud Platform (GCP)

environment (e.g., BigQuery, Cloud Storage, Cloud Functions).

Data Storytelling:

Ability to present complex data and insights in a clear, concise, and compelling manner to both technical and non-technical audiences.

Responsibilities

Business Understanding & Strategy:

Collaborate closely with Digital Marketing business stakeholders to understand their analytical needs, key performance indicators (KPIs), and strategic objectives. Translate complex business questions into clear, actionable analytical requirements.

Data Analysis & Insights:

Conduct in-depth analysis of media and Digital performance data, identifying trends, patterns, and opportunities for optimization. Provide actionable insights and recommendations to improve media effectiveness and business outcomes.

Dashboard & Report Development:

Design, develop, and maintain interactive dashboards and reports using business intelligence (BI) tools (e.g., Power BI, Qlik Sense) to visualize key metrics and performance trends for various stakeholders.

Analytical Modeling:

Develop and implement analytical models (e.g., forecasting, attribution, segmentation) to address specific business challenges and provide deeper insights into media and Website performance.

Data Pipeline Development:

Build, maintain, and optimize data pipelines to ensure timely, accurate, and reliable data flow from various data sources into our analytical platforms, utilizing programming languages like Python and SQL.

Process Improvement:

Identify opportunities to enhance data collection, processing, and analysis workflows. Proactively suggest and implement improvements to increase efficiency and accuracy within the analytics processes. *

Collaboration & Communication:

Work cross-functionally with data engineers, marketing teams, and other business units to ensure data consistency and deliver integrated analytical solutions. Effectively communicate complex analytical findings to non-technical audiences.