AbsolutData - Statistician

Position Summary

Absolutdata is looking for an experienced advanced analytics professional with hands-on experience in econometric modeling and advanced customer analytics. The incumbent will deliver client-specific solutions including: campaign effectiveness analysis, customer segmentation and profiling, targeting, retention analysis, lifetime value analysis, related to input and development of decision modeling.

The role requires business acumen, top-tier analytical and problem-solving skills and a collaborative partnering style in addition to strong verbal communications and experience with executive presentations. The ideal candidate is versed in business and/or marketing strategy to which the analytics insights will be applied.

Role & Responsibilities

- Deliver on analytics requests mostly unsupervised. Ability to understand business problem and convert it into a analytical problem. Should be able to draft a project plan defining what the objective/problem is and able to devise appropriate analytical solution(s), identify all the intermediary activities to reach the end state and complete the activities within the stipulated timelines.

- Interpret the solutions in terms of the Business impact and the solutions need to be backed up by high-quality reasoning and data-points

- Build predictive models from start-to-finish (i.e. extract data, manipulate data, build model and validate model) and then deploy model on real data and track model performance. Recalibrate/refresh the models on regular time-intervals.

- Periodical review of effectiveness of models to determine readiness for business use

- Work with data team to understand the data availability and quality for analytic use, establish new data sources (with the DBA) where necessary

- Quickly grasp and implement new and advanced Statistical techniques to arrive at appropriate solution(s) for better decision making

- Lead a team of Business Analysts to deliver key insights alongside analytical output for the on-shore team/key stakeholder(s)

- Develop detailed documentation of best practices, model implementation framework and manuals for all analytical tasks/activities.

Desired Skills & Experience

- Master's Degree in Statistics, Operations Research, Economics, Social Sciences or similar degree with a focus on statistical methodology. PhD preferred.

- Proven track record with 4-6 years of relevant experience in advanced marketing analytics with a consulting firm preferred

- Strong theoretical and practical knowledge of advanced Statistical and analytical techniques like predictive response modeling, clustering, customer life time value, time series analysis, Market Basket Analysis, CHAID Segmentation

- Demonstrated experience in translating analytical model findings to business insights and communicating the same to non-technical audiences

- Excellent working knowledge of SAS / SQL / STATISTICA / R, MS-Office (specially, Excel & Powerpoint). Experience in SQL, Statistica & R preferred

- The candidate should be an excellent Team player and possess great interpersonal skills

About Absolutdata

Founded in 2001, AbsolutData is an award winning global consulting oriented analytics firm, headquartered in San Francisco, with a global delivery model. We help clients take data-driven decisions, which make them more successful and profitable.

AbsolutData currently partners with more than 15 leading fortune 500 financial services, consumer packaged goods, retail and technology companies globally and was rated as one of the fastest growing research and analytics firm by Inc. 500 & Deloitte and was selected as one of the Top 10 companies in outsourcing marketing services by IAOP.

AbsolutData services are differentiated and provide significant incremental value to our clients by helping them tackle big data challenges, optimize marketing spends, increase campaign ROI and marketing effectiveness, create better customer satisfaction and retention, execute effective targeted marketing, understand and influence consumer behavior, predict future trends, create additional sales opportunities with existing customers, and optimize business results.