Senior Data Analyst

Budapest, Hungary

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Hearsay Systems, Inc.
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Posted 2 weeks ago

What are you looking for in your next company? An open, friendly culture? Smart application of an excellent tech stack? Real diversity? Rock-solid products? If these matter to you, we have some great things to talk about.
We're looking for a highly experienced Senior Data Analyst to join Hearsay’s Budapest-Based Analytics team, a critical component of the Hearsay Advisor Cloud.
Hearsay’s Data Analysts work closely with Engineering, Design, and Product Management to measure business outcomes and present those insights to enterprise leaders and executives, to individual financial advisors and insurance agents, and to Hearsay product managers to drive product strategy.
Our data insights empower advisors and agents, administrators, and corporate executives to understand and continuously improve client engagement. Data is a key driver of measuring and growing value for both the enterprises we serve and their agents and advisors who engage with clients directly. Analytics allow us to measure the efficacy of client engagement behaviors in driving outcomes at all levels of financial services organizations, making every agent and advisor more effective, and increasing client satisfaction. Automated decisioning and human effectiveness powered by data-driven insights will become more and more a part of how the financial services will serve customers.
Who is Hearsay?
Hearsay Systems leads the field in offering sophisticated client engagement products to companies within the financial services vertical. Founded in 2009 by Clara Shih and Steve Garrity, and helmed by CEO Mike Boese, Hearsay Systems leads the field in offering sophisticated client engagement products to companies within the financial services vertical. We are a tightly knit and dedicated group that passionately believes in our products, our people, and our culture. Our products engage customers across Facebook, LinkedIn, Twitter, and Instagram, email, text, and voice. And every product syncs beautifully to Salesforce, Microsoft Dynamics, and other CRM systems.
Hearsay is used by more than 170,000 financial advisors and insurance agents. Our clients include Morgan Stanley, Goldman Sachs, Wells Fargo, JP Morgan Chase, Prudential, New York Life and Allstate. We enable them to get a real-time pulse of field conversations and to trigger more effective targeted advisor-client outreach with AI-optimized calls, text messages, email follow-ups, and social media interactions.

About the role:

  • Work in collaboration with Product, Engineering, Customer Success and other business teams as well as senior management to understand and define analytics and reporting requirements
  • Conduct end-to-end analyses from the idea phase all the way through to end results including the presentation and communication of findings
  • Design and implement reports and dashboards for internal and external clients using business intelligence tools
  • Use your analytical skills to provide actionable insights and/or recommendations, discover hidden/emerging patterns and trends
  • Understand our products deeply, and be capable of comprehending how product features and usage translate to data
  • Lead strategic and high-impact projects to enrich the team’s product and service offerings and increase productivity
  • Partner with senior management to help measure and analyze progress towards the company’s key objectives
  • Collaborate closely with data engineers (in San Francisco and Budapest) to formulate requirements for data stack enhancements; create analytical data models; specify ETL algorithms; develop predictive/statistical models
  • Operate in and support the agile project environment: follow and promote the Scrum methodology
  • Be a thought leader within the department who continuously comes up with recommendations on how to do things better and acts upon those recommendations
  • Act as an advocate of data-driven decision making, foster a healthy data culture, and promote the importance of analytics throughout the company
  • Manage and mentor analysts to complete complex tasks across key areas

About you:

  • 5+ years of experience as a Data or Business Analyst
  • Strong analytical, statistical, troubleshooting skills as well as excellent interpersonal skills
  • Proficiency in SQL queries and deep understanding of relational databases
  • Passionate about working with web, social media, product, and other datasets
  • Proficient user of any business intelligence tool (e.g. Looker, Tableau, Power BI, OBIEE, etc) and/or statistical/reporting packages
  • Capable of developing complex analyses and models, communicating findings and partnering with various stakeholders
  • Comfortable with working in cross-functional, geographically distributed teams in multiple time zones
  • Independent enough to ship major deliveries on their own but great team player as well who knows how to scale work
  • General curiosity for analysing, understanding the data layer representation of applications
  • Well versed with data warehousing and data modeling concepts
  • Experience in Python for data/statistical analysis or R is a big plus
  • Any experience in ETL pipeline development is a big plus
  • Experience in developing predictive models is a plus
  • Any working experience in a cloud environment (AWS, GCP etc.) is a big plus

We offer you:

  • Central location with fantastic colleagues, which is basically your home until pandemia threats us to get together
  • Supermotivated Analytics team
  • Competitive salary with benefits
  • On-site food and beverages once we can get back to the office

  • OUR COMMITMENT TO DIVERSITY AND INCLUSION: At Hearsay we believe that diverse teams are the best teams. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, nationality, gender, sexual orientation, age, marital status, veteran status, or disability status.
    I hereby acknowledge that my personal data included in my application will be processed for the purpose of the recruitment process under the General Data Protection Regulation as of 25 May 2018, as amended from time to time.
Job tags: AI AWS Business Intelligence Data Warehousing Engineering ETL Looker Power BI Python R Scrum SQL Tableau