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3+ years of oil and gas industry experience, (data science or analytics within industry) Acknowledged and consolidated experience within the Data domain - Data Management, Data Analytics, Data Warehouse, Business Intelligence, Advanced Analytics, etc.
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Intermediate to advanced skills in data modeling, and MS Excel to include vlookup and pivot tables. Perform quantitative and qualitative spend analytics using MS Excel and/or other analytical tools: categorization, profiling demand, trend analysis, data mining for opportunities, measurement and tracking of results Support category strategic sourcing events: development of RFx documents, pricing and bid sheets, supplier proposal response analysis.
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Collaborates with IT/InfoSec teams to ensure data integrity and securityDevelops advanced reports and visualizations using Power BI and Power QueryStays current with new Power BI features and best practicesAssists senior analysts in identifying and solving day-to-day business problems through a multi-disciplinary approach that encompasses a multitude of areas, such as mathematics, statistics, computer science, operations research, and business.
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You should have Bachelor's degree or master's degree in finance, Accounting, or BusinessYou have 7-10 years of experience in FP&A.You have strong skills in budgeting, forecasting, COGS, SG&AYou have a strong skill level in Excel, including advanced formulas and functions, and generate financial modeling, including dashboards and charts.
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BS degree in Data Science, Analytics, Engineering, Business, Finance, Computer Science or equivalent education experience. 2+ years of working experience as a Data Analyst/Analytics Developer including experience building Analytical products for internal consumption(E.g. Dashboards, automatic analysis, algorithms.
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Intermediate to advanced Microsoft Excel, PowerBI (or equivalent) and SQL capabilitiesExperience with statistical tools such as R, Python, SPSS, etc. Familiarity with HR systems and data sources (e.g., Workday, data warehousing and other cloud platforms)Relevant industry experience a plusKnowledge, Skills and AbilitiesProficiency with MS Office including Outlook, Word, Excel and PowerPoint.
$85,000 - $110,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced Excel skills (pivot tables, VBA, lookups, formulas, visuals) As a Data Analyst, you will be a key member of our product development team. We are seeking an enthusiastic and experienced Data Analyst to join our team.
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Proficiency with Microsoft Office applications (e.g., Word, Excel, PowerPoint, and Outlook) Proficiency in database querying or business intelligence tools such as Structured Query language (SQL), Alteryx, Toad, Tableau Advanced experience in Excel and ability to work with data analysis tools, statistical/reference formulas, and pivot tables.
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Developing and implementing solutions to financial data management challenges using advanced Visual Basic for Applications (VBA), Structured Query Language (SQL), SQL Server, Microsoft Access and Microsoft Excel technologies.
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Minimum of 4 years experience, at least 2 of which involve working as a data analyst and/or data scientist, in a consultative capacity, preferably with a background in management consulting, client relations, data analytics, data science, and/or coding.
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Advanced Excel knowledge to include complex logic, index/match functions, pivot tables and visual basic. Proven working experience as a Data Analyst or Business Data Analyst.
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You have 5+ years of professional experience in an advanced analytics or data science role; prior experience with SaaS an advantage. Klaviyo is looking for a Senior Advanced Analyst / Data Scientist to join our growing Customer Success Analytics & Operations team.
$96,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Advanced Excel skills with experience in business modeling, management reporting, and operational metrics. Advanced spreadsheet and modeling skill combined with experience in creating dashboards and KPIs. Experience writing SQL or PLX queries and working with large data sets.
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Advanced degree (Masters or Ph. D.) in a quantitative field such as Statistics, Data Science, Computer Science, or a related discipline. Use SQL / python / R / excel to query, manipulate, augment and analyze marketing data in general to identify trends, patterns, and key insights.
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Previous experience with Lotus Notes, Internet and MS Office Skills, including MS Word Advanced, MS Excel Advanced and MS PowerPoint Level II required. This includes responsibility for short and long-term strategic goals, actionable metrics, roadmaps, change management, budget, resourcing, workflows, and architecture of CRM and ancillary systems needed to deliver a raving fan level customer experience and high data quality.
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