Sales Operations Data Scientist

Bitdefender, the technology leader in anti-malware software industry, is seeking a Sales Operations Data Scientist to join this rapidly growing business. The Sales Operations Data Scientist will require a strong analytical ability, customer service oriented, and able manage large amounts of data and information to support decision making. The position will be a part of the Global Sales Operations Team and will need to be able to communicate business processes with cross-functional teams throughout the organization. The individual in this position handles projects and information requiring a high degree of confidentiality and integrity.

Sales Operations for Bitdefender Management and for Sales Teams World Wide

• Develop an automated Quarterly Business Review dashboard in plotly (refine metrics, identify data sources, establish dashboard, permission)
• Acquire data from primary or secondary data sources and align reports for Sales Operations team.
• Develop a system to report data quality inconsistencies to the Sales Operations team
• Evaluates risk, culls data and statistical information to evaluate performance on sales, special payment programs, sales trends and sales practices, to inform business decisions.
• Leverage understanding to develop analysis and reporting capabilities to identify process and program improvements.
• Interpret data, analyze results, interpret trends or patterns in complex data sets, to derive meaning in the sales data to assess strengths and weaknesses.
• Data report preparations, analysis for tracking KPI`s, sales productivity and sales forecast
• Locate and define new process improvements, to resolve data discrepancies and data quality for the long-term.
• Solve complex problems where analysis of situations or data requires an evaluation of multiple dependent and co-dependent factors
• Utilize various software tools for data extraction, analysis, reporting and monitoring, ensuring data sources and metrics are reliable, repeatable and valid
• Tell the story of business trends, patterns, and outliers through rich visualizations
• Support leadership and business teams with timely, recurring and ad-hoc reporting and analysis
• Predictive Modeling / Segmentation
• Help identify opportunities for predictive modeling to enhance strategies
• Assist throughout the model-building process (ex: data preparation, model validation/scoring)

Role Based Competencies:

• Work closely with the Business Intelligence team
• Analytical skills: Able to structure and process qualitative or quantitative data and draw insightful conclusions from it. Exhibits probing mind and achieves penetrating insights.
• Requirements Analysis: Gathers, organizes and evaluates any information or data needed as input from stakeholders to determine requirements and specifications.
• Technical Proficiency: Effectively applies technical knowledge to solve a range of problems. Works with others to develop technical solutions to new or highly complex problems that cannot be solved using existing methods or approaches.
• Continuous Improvement: Continually focuses on improving the responsiveness and quality of the solutions delivered. Seeks feedback to improve personal effectiveness.
• Strategic Thinking: Thinks broadly about process and generates innovative ideas as well as drives the implementation of new workflows. Determines opportunities and threats through comprehensive analysis of current and future trends.
• Problem Solving: Applies critical thinking and structured problem solving to address root causes. Proactively identifies and mitigates issues before they arise.
• Self Managing: Exhibits strong organization and time management skills. Able to manage multiple projects.
• Relationship Building: Big picture, big team minded. Breaks down silos and successfully develops, maintains and strengthens partnerships with team members, customers and stakeholders.

 

Required Qualifications:

• Thorough understanding of probability and statistics, econometric time series analysis and similar
• 3+ years’ experience with Data Analysis – Must have proficiency with relational databases, SQL, Microsoft Excel
• Experience utilizing and presenting both qualitative analysis (e.g., content analysis, phenomenology, hypothesis testing) and quantitative analysis techniques (e.g., clustering, regression, pattern recognition, descriptive and inferential statistics)
• Ability to facilitate discussion, drive consensus, and build partnership
• Ability to produce high quality work products under pressure and within deadlines.
• Ability to handle multiple tasks simultaneously and switch between tasks quickly.
• Experience in collaborating across multiple job functions (marketing, product, sales, finance) directly to understand data to help observe patterns and spot anomalies
• 2+ years’ experience working in an agile environment
• 3+ years’ experience extracting and analyzing large data sets
• Fluency in English is a must; other languages present an advantage
• Ability to perform job functions independently with limited supervision

 

Preferred Qualifications:

• Experience as a Programmer - Python, Perl, Java, and/or C++
• Experience using Salesforce is an advantage
• Experience with Tableu or Microsoft Power BI or other visualization software
• Experience in channel sales, managing resellers is an advantage