HANGAR49 is looking for a Data Processor who is an analytical thinker, is highly focused on the delivery of work and enjoys operating in a multi-skilled team to provide support on the data front. This role is critical in facilitating the data-driven decisions which are made in the business, focusing on collecting, organizing, cleaning, and analyzing data to ensure accuracy and data integrity for various client needs. This role requires someone who is consistent, a proactive communicator, but also a critical thinker who is willing to go above and beyond to interrogate "what is being asked" as well as "what is not clearly being requested" (i.e : the real need).Key Attributes Required For The RoleCritically astuteStrong communication skillsAbility to take initiative and ask for help where neededStrong attention to detailAn interest in marketing/businessAnalytical thinkerEnjoys operating in a multi-skilled teamProactive communicationAn interest in data, processing, and analyticsKey Areas of Responsibility:Manage and drive data collection, data standardization, as well as data sanitization & enrichment. This includes:Collection: extracting data from clients and in a format that is easy to use by the HANGAR49 team. This includes creating and managing web scrapers to collect data.Standardization: ensuring that the data that has been collected is easily used and processed by the Data Processor and HANGAR49 stakeholders.Sanitization: using a variety of tools to clean the data as well as ensuring data integrity.Enrichment: using a variety of tools to enrich a given set of data to provide data which is much more meaningful to our clients. This includes identifying missing data points and enriching the data records with missing data.Keeping up to date with industry trends and best practices is expected, including:Experimenting with technology & tools to advance HANGAR49 with new/best-in-class systems.Advancing HANGAR49 workflows to provide exceptional and valuable data for our clients.Continuously improving the HANGAR49 system by connecting tools such as Google Sheets, CSVs, and off-the-shelf data building tools, wiring them to AI and automations to improve datasets.Understand Client Needs:Have an in-depth understanding of the client, their product/service offering, and their key objectives. This includes critically evaluating the problem and what is being asked. Keep up to date with client industry trends to ensure we align search queries to this learning.Build "sample data" using the best systems and methods to reach the objectives. What is expected of you is to:Collaborate with the sales/customer success teams to understand what is needed.Translate the team needs into data search queries using various tools.Produce sample data that enables the HANGAR49 team to provide the best service offering to existing and potential clients.Build full data for clients. This includes:Assembling data to segments.Presenting data to clients in a meaningful manner to align with client needs.Building trusting relationships with customer success representatives to deliver high-quality work.Work closely with the rest of the HANGAR49 team. What is expected of you is to:Build exceptional data sets for the Customer Success Team's potential clients.Collaborate with the engineering team to gain a deep understanding of HANGAR49 clients' needs.Provide meaningful feedback to the Customer Success Team through reviewing the data and gathering feedback on any learnings from the past month.Be willing to go above and beyond to understand the core needs and requirements of a project or task. This includes managing deadlines and project timelines, probing the team and clients to ensure that the right information is provided to complete the work, as well as refining work based on client feedback.RequirementsMatric (Excellent performance in English and Mathematics is preferable)Computer literate (comfortable with Microsoft Office and especially Google Sheets)Familiarity with search string operators (keywords, boolean search, truncation/wildcard symbols) to perform simple to moderately difficult search queries.Familiarity with advanced search options to perform search strings within databases.Understanding of keywords, subject headings, themes, and prompts to refine the search query for data sourcing.Familiarity with spreadsheet and database applications (e.g., Google Sheets, Airtable, Microsoft Excel) to process raw data and refine the sourced data.Comfortable with spreadsheet formulas and functions such as find, lookup, match, if-statements, and conditional logic.
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