We are looking for an insightful, detail-oriented Analyst to work with our internal departments and management team as they collect and review data and use findings to optimize processes and develop stronger, more effective business strategies. The Analyst will use creativity and technical skills to locate data sources, mine, review, validate, protect, and store data, identify trends, patterns, and anomalies, and use findings to develop strategies to reduce costs, improve processes and practices, and increase efficiency, quality, security, and consistency. You will also create reports and presentations and summarize complex information.

To be a successful Analyst, you should be focused on translating complex numerical data into actionable strategies. You should be analytical, collaborative, communicative, and detail-oriented.

Analyst Responsibilities:

• Learn the existing client data architecture, add new sustainable datasets to the ecosystem
using APIs and SQL based on business specifications.
• Support database administration, ensuring automation and BAU production. · Leverage SQL,
database knowledge and meticulous attention to detail to QA, troubleshoot and fix data
production issues with the business
• Relentlessly pursue data quality and standardization with a focus on exceeding all client and
partner expectations, building relationships with the business.
• Understand data visualization and build visuals to tell stories with data.
• Communicate with users at all skill levels and management levels, understanding technology
needs, database needs and business needs with the ability to translate to API and database
actions.
• Have the ability to pivot and change priorities very quickly, reacting and adapting to digital
platform changes and ensuring data flows properly pre+post updates and social
requirements.
• Involve in cloud (AWS & Azure) research, develop proof of concepts and provide suggestions
for cloud architecture development
• Support practices and procedures of existing AWS infrastructure

Analyst Requirements:

• Knowledge and experience with two or more of the following:
– Databases Management
– Data modelling
– Database architecture
– ETL Processing
• Experience with one or more of the following:
– SQL
– SAS
– SPSS
– Applied Statistics
– API Connections and Querying
– Business Intelligence Platforms (Tableau, DOMO, Birst, Microsoft Power BI)
– Social Analytics (Facebook Insights, Facebook Ads, Twitter Analytics, Twitter Ads)
– Social Listening (Crimson Hexagon, Brandwatch, Sysomos)
– Web Analytics (SiteCatalyst, Google Analytics, Omniture, WebTrends)
– Digital media analytics (Doubleclick, Atlas)
– Cloud technologies (AWS or Azure or GCP)
– Cloud computing concepts (IaaS, PaaS, SaaS)
• Strong attention to detail, analytical skills and data integrity with solid foundation in
statistical techniques
• Sense of urgency and large desire to satisfy partners and clients
• B.A. in Statistics, Mathematics, Computer Science, Economics or a quantitative degree in
another social science