Overview

Method+Mastery has an immediate opening for an experienced, talented, energetic, self-starting Social Intelligence Analyst to join our team and help our Fortune 50 clients maximize their marketing and communications efforts through research and measurement on a variety of global social and earned media campaigns. Our team is responsible for analyzing and synthesizing data to provide actionable insights and tactical recommendations to our clients. Positions are available in Texas, California, Maryland, Virginia, Illinois, Missouri, Massachusetts and Washington, D.C. This position offers the opportunity for a hybrid set-up with work from home and work from office flexibility.

Methods+Mastery is an entrepreneurial, collaborative environment that values talented, creative people who like to work with others to create cutting-edge programs for our clients. We’re seeking someone who is passionate about social, data and analytic tools. Someone who has an innate curiosity and the desire to find out "why?” Our team is growing at an amazing rate, and this is an opportunity to produce work for top clients in an entrepreneurial and collaborative environment that values team above all. We do great work – and hire only great people, too.

Methods+Mastery is actively committed to increasing our team’s diversity, aggressively eliminating systemic barriers to equity, and fostering a culture where different backgrounds and perspectives are respected and celebrated. We firmly believe a team of many diverse perspectives not only makes M+M a better place to work, it is also critically important for producing creative and thoughtful work that represents the world we live in. To that end, we strongly encourage applications from women, people of color, members of the LGBTQ+ community, veterans, individuals with disabilities, and neurodivergent people.

The anticipated salary range for this position is $99,000 - $126,000.

Salary is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available.

Sound like what you’re looking for?

Responsibilities

• Produce analyses of data from social, news, podcasts, and other media sources across multiple programs and channels as a member of the Intelligence and Analytics team.

• Work with (and mentor) junior analysts on the required methodologies to synthesize social and other digital data.

• Work closely under senior analysts’ guidance to recommend social and digital engagement and content strategies based on gleaned insights.

• See the big picture: Connect the dots by digging deep to uncover trends and insights from data to move analyses beyond descriptive analytics.

• Conduct and support analysis through the use of social and news listening tools, audience intelligence tools and owned analytics tools.

• Develop and understand KPIs, dashboards and spreadsheet scorecards.

• Provide strategy and recommendations for marketing applications around cultural moments based on data analysis and audience understanding.

• Support the team with providing monthly, quarterly and annual performance impact updates to internal teams and clients.

• Research and synthesize trends and developments across industries, platforms and audiences.

• Liaise closely with client service teams and strategists to provide tangible client recommendations.

• Work as a collaborative, decisive partner and liaison across all parties including clients, vendors, colleagues, and operations.

• Play a counselor role by being a digital and social expert, staying current with the latest digital measurement trends, as well as relevant industry trends.

Qualifications

Must-haves:

• 4-6+ years of total experience gained in digital research, marketing, and/or analytics.

• Strong analytical skills; must be proficient in analyzing and interpreting digital data (e.g., advanced Google Sheets/Excel knowledge, large dataset management) from standard software packages and databases (e.g., Brandwatch, Cision, Talkwalker, Sprinklr, Signal AI, Newswhip, Tagger, and similar).

• Comfortable finding the meaning in data, turning data into stories, and presenting data.

• Excellent verbal and written communications skills to effectively communicate campaign performance to internal and external campaign stakeholders.

• Understand client’s business requirements, and design reporting and analysis approaches tailored to them, and maintain standards of data integrity.

• Ability to quickly pattern spot and surface actionable insights; separate signal from noise.

• Experience distilling complex and high volumes of data into simple KPIs and data visualizations / dashboards / scorecards.

• Excellence in writing clear and concise presentations for clients summarizing data insights, outcomes and implications in a straightforward and enlightening way for clients.

• Ability to produce intelligence work in highly collaborative internal and client environments.

• Ability to teach and mentor junior analysts the best practices of the marketing intelligence industry, including hard data and analytics skills.

• Past experience leading social analytics or intelligence reporting / research projects.

Nice to haves:

• Background providing evaluative volumetric and content analysis with media monitoring tools such as: Cision / Trendkite, Meltwater, Onclusive, Signal AI, Zignal, or Newswhip.

• Experience with real-time listening for real-time engagement.

• Skilled user of tools such as Excel, Power BI, Power Pivot, or Quantivo.

• Experience with Google suite of tools is a plus (Google Sheets, Google Looker Studio (fka Data Studio), or Google Cloud Platform).

• Experience with Google Analytics or other web analytics tools

• Experience with market research and consumer profiling tools such as YouGov, MRI Simmons, or Iconoculture.

• Experience with paid media and social boosting measurement.

• Experience with influencer performance program development and measurement.

• Experience with data science, data engineering, machine learning or AI.

• Ability to contribute an increasing level of innovation in data and analytics.