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Our Modern Data Stack is made up primarily of Python, BigQuery, dbt, Looker, Slack, Google Cloud Functions, and of course, Fivetran! Fivetran’s internal Analytics team are happy Fivetran customers, and we are looking for a data engineer who is ready to step into that future with us.
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This person will be the standard-bearer for data quality and efficiency on a high-performance, industry-leading Analytics team. Lead the development and enablement of new tools and technologies to support Fivetran Analytics.
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We have a diverse and inclusive global team comprising Professors, PhDs, MSc’s, and MBAs from Ivy Leagues, INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, Palantir, Katana Graph to name but a few.
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Opportunity to get hands on experience with analytics tools and platforms (Google Analytics, Salesforce, Pardot, HubSpot etc.) Past experience in a marketing, analytics, similar internship or projects.
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Experience in Google Analytics, Google Ads, Google Search Console, SEO and WIX CMS. Smarking is hired by organizations like Brookfield Properties, City of Miami, ABM Industry Groups, and many other enterprise industry leaders to turn their parking data into business results.
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Familiarity with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
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Working with at least one cloud based data warehousing platforms – Snowflake, AWS Redshift, Azure DW, Oracle Cloud, Google Big Query, or anything similar. The Data Operations Manager will also work closely with Engineering, Analytics and Product Management teams, in providing actionable insights and support for strategic initiatives along with building powerful tools for taxonomy administration.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Strong analytical skills with a passion for data visualization and communicating complex data (Looker, Google Analytics, Google Sheets, PowerPoint as well as BigQuery, ShopifyQL, Klaviyo on our ecomm side) with the ability to translate data into useful insights.
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This includes expertise in HR Information Systems (HRIS) like ADP, familiarity with collaboration tools (e.g., Slack, Zoom, Google Suite), and proficiency in data analytics and project management software (e.g., Microsoft Excel, Google Sheets, Jira.
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What you'll be doing Build applications, tooling, and frameworks to improve the productivity of Discord's product, analytics, and machine learning teams, using modern technologies such as BigQuery, Airflow, Kubernetes, etc.
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Create and execute plans, using insights from Google Analytics and SEMRush, in addition to data and recommendations provided by our content marketing and analytics directors, to grow strategic audiences through targeted editorial/storytelling content.
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Proficient in Google Sheets or Microsoft Excel (e.g. should know commonly-used functions such as INDEX(MATCH), VLOOKUP, COUNTIFS, SUMIFS, Pivot Tables) 3-5years of experience in marketing analytics, sales analytics, business operations, or other analytically-focused role.
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Direct experience with our MarTech stack, which currently includes: HubSpot, Salesloft, Zoominfo, LinkedIn Sales Navigator, WordPress, and Google Analytics. 5+ years of marketing experience in Growth Marketing (familiarity with target personas of digital or product analytics such as Mixpanel, Amplitude, or Heap strongly preferred.
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Experience with Microsoft products, Canva, Sprout Social, Google Analytics, Daktronics Show Control and other business and digital media tools. Ability to draw insight from data analytics and communicate recommendations to management.
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