Analyst, Insights

5 months ago

Pune, India AllianceBernstein Full time

Company Description:

As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals, and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients’ most valued asset-management partner.

Group Description:

The Insights & Analytics team within AB’s Private Client Group is looking for an Analyst to join the team and to improve overall team productivity. Insights & Analytics is responsible for developing tools, models, reports, and/or analyses to answer key business questions and to enable improved productivity. We typically work in one of four specific areas: 1) building a data infrastructure, by converting “raw” data into useful actionable information; 2) conducting analyses at the request of partners and internal clients to answer key business questions; 3) building reports (in Excel and/or Power BI) to enable our partners to have improved access to key data; and 4) creating datasets to enable the creation of dashboards by a development team.

The candidate will report to the VP of Insights & Analytics and will produce analytic deliverables to help measure and improve various business outcomes such as AB’s digital and offline marketing strategies, client acquisition strategies, portfolio optimization, etc. The role will be “hands on” with data and will access data across multiple channels including web data, client data, and business performance data. Based within the advanced analytics team, the role will be an expert in transforming raw data into accurate, impactful, analyses, including reporting, predictive modeling, and ad-hoc analyses. The role will require extensive knowledge of Excel and SQL, as well as other advanced database mining languages for extracting and analyzing data.

Analytic projects will typically be either short-term (less than one week) or medium term (3-4 weeks). The candidate will work closely with other team members to establish our hypotheses, the data, the approach, and the desired deliverable, and then will work to deliver a satisfactory deliverable that meets our client’s expectations.

What makes this role unique or interesting (if applicable)?

  • Opportunity to explore a wide variety of interesting data, to work on a wide variety of interesting questions, and to leverage analytic and data skills to generate creative, helpful solutions.

Qualifications, Experience, Education:

This position requires:

  • Very strong Excel competence, including advanced Pivot tables, VLOOKUPs, and advanced formulas.
  • Medium to extensive experience in SQL, for extracting data from production tables.
  • Familiarity with any of the following for analyzing data: R, Python, SAS, SPSS.
  • Positive and constructive attitude and have ability to quality review output of own work, with a focus on accuracy, speed, and tenacity.
  • Strong data acumen, with the ability to understand the meaning of data and what it does or does not represent. Enjoy working with data and in transforming raw data into useful analytics and insights.

Special Knowledge (if applicable):

  • Demonstrate proficiency across a wide range of technologies related to the analysis, visualization, integration, and modeling of large and complex data sets. Broad knowledge in programming/coding, querying, reporting, advanced analytics, and statistics.
  • Candidate must be responsible, highly organized, detail oriented, and efficient. Strong interpersonal skills and clear communication skills, both written and oral, are a must.
  • The candidate should have strong problem solving and analytical skills, and the ability to work in a deadline-oriented environment. The candidate should also be able to prioritize and manage multiple projects simultaneously.
  • Qualifications and Education: BA or BS degree required. Experience in working closely with data should be demonstrated.

Location: Pune, India

Pune, India

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