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Marketing Data Analyst
Responsibilities
The Marketing Analyst will work closely with marketing, sales and CRM teams and use a data-driven approach to identify trends and opportunities in MTBC’s universe.
The successful candidate will track ROAS, research consumer behavior, analyze campaign data and suggest ways to optimize marketing spend.
The successful candidate needs to be adept at processing and analyzing marketing data and suggest campaign and budgetary optimizations.
Essential Duties and Responsibilities:
● Analyze MTBC’s sales pipeline, marketing campaign and prospect data
● Measure and report on the ROI of online and offline advertising campaigns
● Report on marketing KPIs like leads, conversion rates, attribution, website traffic and social media engagement
● Track email campaign metrics (delivery, open, click-through rates, conversions)
● Monitor budget distribution and performance of paid ad campaigns
● Conduct competitive research and analyze benchmarking data
● Recommend website and campaign optimizations based on data from multiple sources
● Research and assist in the implement marketing tools to support our promotional projects (automation software, social media scheduling)
Required Qualifications/Skills
● Minimum of 2 years’ experience in a Marketing Analyst or similar role
● Knowledgeable in quantitative and qualitative market analysis for US companies and markets
● Strong data-driven problem-solving skills to make sense of market numbers
● Experience in web analytics, competitor analysis, email engagement, online sales and leads, offline sales, website traffic analysis from multiple sources and digital advertising
● Adept at carrying out structured market research and analysis including identification of key market statistics, interpreting findings understand the impact of a marketing campaign
● Able to process and consolidate data from multiple internal and external sources and create meaningful insights
● Hands-on experience in different digital analytics tools (e.g. Google Analytics, Ahrefs, Search Console, Google Data Studio etc.)
● Understanding of SEM campaign strategies and SEO practices
● Good knowledge of statistical and data modeling tools and MS Excel
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