13 days old

Data Analyst - 1671676

New York, NY 10007
  • Job Code
    1671676
\u003Cdiv data-field=\u0022description\u0022 class=\u0022jd-description\u0022\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u00A0\u003C/strong\u003E240 W 37th St, New York, NY 10018\u003C/p\u003E \u003Ch3\u003E\u003Cstrong\u003EWhat is WorkMarket?\u003C/strong\u003E\u003C/h3\u003E \u003Cp\u003EEvery day, thousands of professionals use WorkMarket, an ADP Company, to support the on-demand needs of large organizations. With the Freelance economy expanding at an ever-faster pace, its propulsion has influenced the traditional means of how work gets done. Understanding the impact this groundswell is having on the modern-day economy requires synthesizing data\u2026lots and lots of data. Consequently, we produce iceberg-sized data and \u2013 if you\u2019ll excuse the metaphor \u2013 we\u2019re only at the tip of analyzing it all.\u003C/p\u003E \u003Cp\u003EAs a \u003Cstrong\u003EData Analyst\u003C/strong\u003E, you\u2019ll work with the Head of Data \u0026 Analytics and in collaboration across all corporate functions, to build dashboards, reporting tools, ad-hoc queries, and detailed analysis. This includes adapting our data warehouse and reporting tools to match our fast-paced business needs. Further, you will help shape how our teams and user base consume data on a real-time basis.\u003C/p\u003E \u003Ch3\u003E\u003Cstrong\u003EWhy you should join us?\u003C/strong\u003E\u003C/h3\u003E \u003Cp\u003EWorkMarket is one of NYC\u2019s fastest-growing companies and was recently acquired by the most trusted name in human capital management, ADP. From New York to Toronto -- the entire WorkMarket team is committed to building powerful enterprise software that can help the biggest companies on the planet work smarter and faster.\u003C/p\u003E \u003Cp\u003EWorkMarket offers the vibe of a startup with the resources of a Fortune 500 company, and you\u2019ll have plenty of opportunities to help drive our product and technology strategy.\u00A0 Our dynamic team of engineers are passionate about what they do and have fun along the way. \u003C/p\u003E \u003Ch3\u003E\u003Cstrong\u003EResponsibilities include\u003C/strong\u003E\u003C/h3\u003E \u003Cul\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EDeveloping data models to capture and report on KPIs\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EBuilding dashboards and tools to support our internal teams\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EExploring our data to uncover meaningful insights in changes to help drive company growth\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EContextualizing data for a variety of audiences, internally and externally\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EA myriad of data projects as needs arise\u003C/li\u003E \u003C/ul\u003E \u003Ch3\u003E\u003Cstrong\u003EQualifications\u003C/strong\u003E\u003C/h3\u003E \u003Cul\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003E2\u002B years of experience as a Data Analyst\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EExperience with BI tools (Looker, Tableau, et al)\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EDemonstrated interest in exploring data and extracting valuable insights\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EProven analytical, problem-solving, and troubleshooting expertise\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EProficiency in SQL, preferably across a number of dialects (we commonly write MySQL, PostgreSQL, and Redshift)\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EAbility to learn and assimilate technical information quickly\u003C/li\u003E \u003C/ul\u003E \u003Ch3\u003E\u003Cstrong\u003EBonus points for\u003C/strong\u003E\u003C/h3\u003E \u003Cul\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EExperience with version control and shell commands (git, github, SSH, *nix,\u00A0 etc.)\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EPython for Data Analysis (pandas, scikit-learn, etc.)\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EJava and Tomcat\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EDatabase/query performance optimization\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EComfort with the AWS ecosystem (EC2, S3, RDS, Redshift, et al)\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EExperience with data warehousing (Stars and Snowflakes!)\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EKnowledge of SaaS-based business\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003EEnterprise-grade data and systems knowledge\u003C/li\u003E \u003Cli style=\u0022font-weight: 400;\u0022\u003ETolerance for the occasional data cleansing\u00A0\u003C/li\u003E \u003C/ul\u003E\u003C/div\u003E

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Posted: 2019-11-07 Expires: 2019-12-12

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Data Analyst - 1671676

ADP
New York, NY 10007

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