Overview
Advisory Analytics / Marketing Analyst responsibilities include monitoring, analyzing, and optimizing digital marketing campaigns across multiple channels; collaborating with cross-functional teams; and maintaining client communications and project progress updates.
Responsibilities- Campaign Analysis: Monitor the performance of digital marketing campaigns across various channels, including Google Ads, Facebook Ads, Instagram, LinkedIn, and email marketing.
- Data Analysis: Collect, analyze, and interpret marketing data to identify trends, opportunities, and areas for improvement. Provide actionable insights to the marketing team.
- ROI Optimization: Work with the marketing team to optimize campaign budgets, bidding strategies, and targeting to maximize return on investment (ROI).
- A/B Testing: Plan and execute A/B tests to improve ad creatives, landing pages, and other campaign elements. Utilize test results to inform campaign optimization.
- Reporting: Prepare regular reports and dashboards to communicate campaign performance and key metrics to stakeholders. Identify and communicate key insights from the data.
- Competitor Analysis: Stay up-to-date with industry trends and the competitive landscape. Conduct competitor analysis to identify opportunities and areas for differentiation.
- Keyword and Audience Research: Perform keyword research and audience analysis to inform ad targeting and content strategies.
- Collaboration: Collaborate with cross-functional teams including content, design, and development to ensure alignment of marketing efforts and achieve campaign objectives.
- Coordinate with Advisory Analytics Consultant Coordinator to provide current project progress updates.
- Draft email correspondence to clients as per internal technical/advisory requirements, and provide updates to internal teams on requirements.
- Organize and service meetings, understand meeting context, summarize results and necessary next steps.
- Coordinate schedules between internal teams and clients; collaborate with other team members or divisions as needed.
- Manage client requests and issues (replicate, validate, and confirm issues). Maintain product knowledge (Google Analytics, Google Optimize, Digital Marketing, etc.).
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Industrial Engineering, Economics, or a related field. Master’s degree is a plus.
- Minimum 2–3 years of experience as a Product Analyst, Data Analyst, Business Analyst, or a related role.
- Experience in tech, consulting, e-commerce, or financial services industries is highly valued.
- Experience collaborating with performance/ growth marketing teams is a strong advantage.
- Proficient in SQL for data extraction and transformation.
- Skilled in analytical tools such as Python, R, or advanced Excel (pivot tables, VLOOKUP, data modeling).
- Familiar with BI tools such as Tableau, Power BI, Looker, or Google Data Studio.
- Hands-on experience with A/B testing, cohort analysis, funnel analysis, and experimentation frameworks.
- Strong understanding of product metrics (conversion rate, retention, churn, LTV, CAC, ROI).
- Solid understanding of performance marketing channels (Google Ads, Meta Ads, TikTok Ads, and programmatic platforms).
- Experience analyzing and optimizing marketing campaign performance using data.
- Knowledge of channel attribution models, marketing effectiveness measurement, and budget optimization based on data insights.
- Comfortable working closely with marketing teams to align performance initiatives with product goals.
- Strong business acumen with the ability to turn complex data into actionable insights and strategic recommendations.
- Excellent communication skills with the ability to present findings to non-technical stakeholders.
- Product-oriented mindset with strategic thinking and problem-solving skills.
- Mid-Senior level
- Full-time
- Marketing and Sales
- IT Services and IT Consulting