Job Description:

PharmaServe.com is a leading consumer health platform with a mission to make healthcare accessible and affordable for everyone in the US.

We are looking for an experienced Data Analytics Manager, who will be responsible for handling, processing and analyzing numerous large data sets, overseeing data analytics and research projects, developing analytical tools, and providing insights and recommendations to decision-makers.

The successful candidate is someone who loves working with big data, while following best practices for data standards and management. They will be required to maintain data quality, flow of data, and security of data.They will provide some oversights in the data analytics division. Additionally, they will develop effective business intelligence strategies and analytics solutions while working with cross-functional teams.

The successful candidate will join a team of self-driven professionals, who
believe in innovative thinking, and strive for operational excellence. The role
reports directly to the C-Suite and is fully remote.

Responsibilities:

• Serving as the organization’s subject matter expert for Data Analytics.
• Creating data analytics tools, systems and processes to transform raw data into actionable insights.
• Creating, maintaining and managing databases and master data.
• Setting up and integrating large datasets for queries and analyses.
• Utilizing and managing large datasets to optimize and drive business decisions.
• Providing quality assurance of imported data.
• Commissioning/decommissioning data sets/tools.
• Defining, analyzing and proposing business solutions based on the business needs.
• Performing data analysis, research and modeling to provide insights on strategic areas.
• Designing and implementing surveys and other research studies.
• Collaborating with other departments to identify research needs and ensuring research is aligned with company goals.
• Presenting research findings to management and other stakeholders.
• Staying up-to-date with industry trends and current best practices in data analytics.
• Assessing and ensuring data quality and accuracy of processes.
• Developing processes and data-based insights and reporting, in order to provide visibility and timely information to business leaders.
• Working with internal and external stakeholders to use data to define and adopt appropriate processes and goals to achieve business unit objectives.
• Driving automation throughout the teams’ processes, reporting, operational responsibilities and the businesses strategic alignment.
• Planning, managing and conducting complex qualitative and quantitative research and analysis to assist in the development and improvement of programs, policies and performance measurement.
• Maintaining professional competence by participating in professional development and ongoing research.
• Understanding and communicating complex business concerns and solutions in a clear and concise manner.
• Designing, creating and maintaining data visualizations, automated dashboards, and reporting systems using tools like Tableau, Excel, Power BI, Snowflake etc.
• Developing and refining customer segmentation models.
• Performing statistical analysis.
• Identifying trends, patterns and insights from data to inform business strategies.
• Developing and maintaining ML (machine learning) algorithms/models.
• Performing data extraction, mining and predictive modeling.
• Developing custom data models.
• Designing and managing database queries.

Requirements:

• 5-7 years of work experience in Data Analytics, Business Intelligence, Consulting or Business Operations.
• Bachelors/Masters degree in Data Science/Management, Mathematics, Marketing, Economics, Computer Science, Information Management, Statistics or a related field.
• Expertise in data analytics.
• Proven experience performing market research in the e-commerce sector is an asset.
• Expertise in analytical tools such as SQL, mySQL, Tableau, Python, google tools (including Google Scripts, Google Sheets and Forms), and Microsoft Excel (VBA experience is an asset), Power BI, and Microsoft Office 365
• Experience in top relational database administration & management system (RDBMS) software, such as Microsoft SQL Server (IQL,Interactive Query Language is an advantage but not a must-have).
• Experience with statistical analysis.
• Proficient in data profiling, data mapping, data quality, data cleaning, data scraping, data mining, and documenting data transformation rules in a data warehouse environment.
• Independently-motivated and intellectually curious.
• Experience identifying needs and building out solutions from scratch and solving organizational and/or key management issues.
• Excellent written and verbal communication skills.

Desired skills for this role include:

• Ability to think critically, and be innovative to problem-solve.
• Ability to remain flexible in a consistently evolving environment.
• Working cooperatively to share information and develop collaborative approaches where needed on issues and opportunities related to data management, evaluation and quality improvement initiatives.
• Track-record of delivering actionable insights and improving existing processes efficiency.
• Strong interpersonal, project management and leadership skills
• Relational or foundational database skills.
• Exceptional organizational skills with high attention to details.
• Ability to learn new systems (especially analytical tools) fast.
• Writing custom queries and creating databases to support other teams with their data reporting needs.
• Experience creating and managing ETL (Extract, Transform, Load) pipelines.
• Familiarity with scripting language Python.

Other Requirements:

• Ability to work in the CST (Central Standard Time) timezone.
• Computer with 16GB RAM or faster.
• Strong internet access.

Pharmaserve is an equal-opportunity employer committed to diversity and inclusion in the workplace. We are committed to creating an inclusive environment for all employees while supporting and encouraging diversity
at all levels

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