Key Facts

Remote From:

Freelance

Mid-level (2-5 years)

Hard Skills

SQL (Programming Language) Python (Programming Language) Data Visualization Statistical Analysis Linear Regression Facebook Advertising Cloud Computing A/B Testing Google Analytics Predictive Analytics +6 more

Other Skills

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Microsoft Excel
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Communication
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Problem Solving

Wide and Wise Talent Partner

Information Technology & Services

About Wide and Wise Talent Partner

Wide And Wise is a dynamic search firm specializing in crafting top-tier recruitment teams globally. With a focus on partnering with ambitious recruitment enterprises expanding throughout the EMEA, we've earned the trust of a diverse clients over the years. With dual headquarters in Istanbul and Talinn, boasting over a decade and a half of experience in the recruitment sector, we excel in fostering enduring partnerships and expanding our network consistently. Our core values revolve around honesty, integrity, and accountability. We offer sound guidance to both candidates and clients, believing in the power of transparency and the importance of sticking to fundamental principles. Our passion for our work drives us to challenge norms and revolutionize the recruitment landscape positively. At Wide And Wise, we're not just recruiters; we're catalysts for change, dedicated to making a lasting impact and reshaping the recruitment industry for the better. Want to learn more? Feel free to reach out! hello@wideandwise.co

Company type: Startup

Industry: Information Technology & Services

Founded: 2018

Company size: 2 - 10

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Job description

Our partner is seeking a Senior Analytics Consultant to join their Data Management & Insight Team. In this role, you’ll transform data into actionable insights that guide strategic decisions across marketing, product, customer engagement, and operations. You’ll own the end-to-end process of building impactful dashboards, combining strong analytical skills with clear communication to support business growth.

Key Responsibilities

Collaborate with cross-functional teams to align data efforts with business goals.
Define KPIs (e.g., CAC, LTV, churn), develop measurement plans, and track performance.
Integrate and manage data from platforms like GA, CRMs, and ad tools.
Support data engineering teams in building and maintaining pipelines.
Conduct segmentation, cohort analysis, and customer journey mapping.
Use statistical methods and modeling to extract insights.
Perform attribution analysis for marketing performance.
Design, test, and deliver dashboards via Tableau, Power BI, or Looker Studio.
Present findings and strategic recommendations to stakeholders.
Enable data literacy across the organization through training and documentation.

Requirements

3+ years of experience in analytics, BI, or reporting (preferably in marketing/product).
Proficiency in SQL, Excel, Python or R.
Experience with ETL, APIs, and cloud platforms (GCP, AWS, etc.).
Skilled in data visualization (Tableau, Power BI, Looker Studio).
Strong knowledge of A/B testing, regression, and predictive analytics.
Familiarity with Google Analytics, Facebook Ads, and product analytics tools.
Excellent communication and problem-solving skills.
Bachelor’s in Data Science, Statistics, CS, or related fields.