الصفحة الرئيسية كندا Data Analyst
الصفحة الرئيسية كندا Data Analyst
Data Analyst
تفاصيل الوظيفة
Company Profile:Join one of the fastest growing companies in Canada! LawDepot is proud to be a seven-time Growth 500 ranked organization and a major player in the Global legal solutions industry. Our mission is to modernize the legal document creation experience by empowering people with fast, easy-to-use, and professional solutions. With over ten million satisfied customers worldwide, over two million monthly website visitors, and billions of dollars saved on legal fees, you will be joining a team that is truly making a difference. At LawDepot, we foster a collaborative and inclusive learning culture that values excellence and diversity. Apply today and become a part of our exciting journey!Position Overview:LawDepot.com is currently expanding and looking to recruit a Data Analyst in Edmonton, Alberta. Working with the Revenue Operations team, this position will be responsible for performing in-depth analysis of website user behavior. This is a full-time permanent position, working 37.5 hours per week with opportunities for a hybrid work schedule.Primary Responsibilities:Conduct usage analysis on experiment and non-experiment data to understand customer behaviorAnalyze and understand why customers take certain actionsDevelop plans to track website usage and to improve event reportingImprove and maintain automated reportsCommunicate data analysis results and recommendationsCreate new projects based on experiment resultsCollaborate with analysts, software developers, and key stakeholders Deliver data-based recommendations and identify next stepsDiscover data trends and findings across different projects & experimentsBuild attribution models for website event trackingCreate reports and data visualizations to increase the quality of analysis being deliveredCollaboratively identify relevant KPIs for individual projects, and engagement metrics (usage, renewals, etc.) and how they should be measuredHelp Senior Data Analysts with planning future phases for various projectsCreate quarterly/annual reports and presentationsKnowledge and Skill Requirements:Post-secondary education in Business, Finance, Economics, Mathematics, Computing Science, or other Analysis related programsExperience conducting analysis on large datasets High level of proficiency with SQL coding, creating reports, and running queries Knowledge in data analysis and visualizations tools (like Python, R, D3.js, Matplotlib, etc.)Proficiency using Microsoft Excel (Pivot Tables, Visualizations, Formulas) and Project Management softwareKnowledge of data mining and segmentation techniques Ability to work independently and manage complex projects Experience with statistical analysis Ability to summarize complicated analysis and make it easy to understandStrong interest in data analysis and developing creative solutions to problems Understanding of relational database structures and principles Why You Should Join the LawDepot Team:Excellent total compensation packageComprehensive health and dental benefits, plus an additional Health Care Spending AccountGreat work life balance (37.5 hour work weeks, flexible schedules, ability to bank hours)Three weeks paid vacation, plus bonus personal daysContinuous learning opportunities, including LinkedIn Learning subscriptions and training budgets Company share planFree catered lunches for the entire officeMonthly social events for team members to enjoy (think axe throwing, rock climbing, board games, food trucks, trivia contests, and charitable activities)Casual work environmentPersonal offices for focused work and to have your individual space (plus collaborative workspaces for when you want to meet with the team) Free and easily accessible parkingSouthgate Mall, Whyte Ave, and Calgary Trail restaurants are only minutes awayHybrid working arrangements for that balance between getting work done at home and engaging with others in the officeHow to Apply:Please submit a resume and cover letter by email to career@lawdepot.ca or submit online via our Careers page at We thank all applicants; however, only those selected for an interview will be contacted.
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'Saudi Arabia', 'country_id' => '183', 'country_code' => 'sa', 'slug' => 'saudi', 'global_location_id' => '187', 'rel_gloc_ids' => '274,273,272,271,269,268,267,266,265,264,263,262,261,260,259,258,257,256,255,254,253,187', 'currency' => 'SAR', 'currency_name' => 'Saudi Riyal', 'languages' => 'en,ar', 'default_language' => 'en', 'country_time_zone' => 'Asia/Riyadh', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'india' => array( 'name' => 'India', 'country_id' => '99', 'country_code' => 'in', 'slug' => 'india', 'global_location_id' => '100', 'rel_gloc_ids' => '100,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,976,994,1263,1264', 'currency' => 'INR', 'currency_name' => 'Indian Rupee', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Asia/Kolkata', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'south-africa' => array( 'name' => 'South Africa', 'country_id' => '236', 'country_code' => 'za', 'slug' => 'south-africa', 'global_location_id' => '197', 'rel_gloc_ids' => '197,498,499,500,501,502,503,504', 'currency' => 'ZAR', 'currency_name' => 'South African Rand', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Africa/Johannesburg', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'egypt' => array( 'name' => 'Egypt', 'country_id' => '61', 'country_code' => 'eg', 'slug' => 'egypt', 'global_location_id' => '64', 'rel_gloc_ids' => '64,955,957,1102,1103,1104,1105,1106,1107,1108,1109,1110,1111,1112,1113,1114,1115', 'currency' => 'EGP', 'currency_name' => 'Egyptian pound', 'languages' => 'en,ar', 'default_language' => 'en', 'country_time_zone' => 'Africa/Cairo', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'singapore' => array( 'name' => 'Singapore', 'country_id' => '188', 'country_code' => 'sg', 'slug' => 'singapore', 'global_location_id' => '192', 'rel_gloc_ids' => '192,382,432,438,445,453', 'currency' => 'SGD', 'currency_name' => 'Singapore Dollar', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Asia/Singapore', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'qatar' => array( 'name' => 'Qatar', 'country_id' => '178', 'country_code' => 'qa', 'slug' => 'qatar', 'global_location_id' => '176', 'rel_gloc_ids' => '176,252', 'currency' => 'QAR', 'currency_name' => 'Qatar Rial', 'languages' => 'en,ar', 'default_language' => 'en', 'country_time_zone' => 'Asia/Qatar', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'pakistan' => array( 'name' => 'Pakistan', 'country_id' => '169', 'country_code' => 'pk', 'slug' => 'pakistan', 'global_location_id' => '164', 'rel_gloc_ids' => '164,979,1052,1053,1054,1055,1056,1057,1058,1059,1060,1061,1062,1063,1064,1065,1066,1067,1068,1069,1070,1071', 'currency' => 'PKR', 'currency_name' => 'Pakistani rupee', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Asia/Karachi', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'kuwait' => array( 'name' => 'Kuwait', 'country_id' => '116', 'country_code' => 'kw', 'slug' => 'kuwait', 'global_location_id' => '116', 'rel_gloc_ids' => '116,276,277,278,279,280,281', 'currency' => 'KWD', 'currency_name' => 'Kuwait Dinar', 'languages' => 'en,ar', 'default_language' => 'en', 'country_time_zone' => 'Asia/Kuwait', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'oman' => array( 'name' => 'Oman', 'country_id' => '163', 'country_code' => 'om', 'slug' => 'oman', 'global_location_id' => '163', 'rel_gloc_ids' => '163,282,283,284,285,286,287,288,289,290,291', 'currency' => 'OMR', 'currency_name' => 'Oman Rial', 'languages' => 'en,ar', 'default_language' => 'en', 'country_time_zone' => 'Asia/Muscat', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'jordan' => array( 'name' => 'Jordan', 'country_id' => '106', 'country_code' => 'jo', 'slug' => 'jordan', 'global_location_id' => '110', 'rel_gloc_ids' => 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=> '1', 'published' => '1', 'show' => '1' ), 'malaysia' => array( 'name' => 'Malaysia', 'country_id' => '149', 'country_code' => 'my', 'slug' => 'malaysia', 'global_location_id' => '131', 'rel_gloc_ids' => '131,131,980,1051', 'currency' => 'MYR', 'currency_name' => 'Ringgit', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Asia/Kuala_Lumpur', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'nepal' => array( 'name' => 'Nepal', 'country_id' => '159', 'country_code' => 'np', 'slug' => 'nepal', 'global_location_id' => '151', 'rel_gloc_ids' => '151,981,1096,1097,1098', 'currency' => 'NPR', 'currency_name' => 'Nepalese Rupee', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Asia/Kathmandu', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'nigeria' => array( 'name' => 'Nigeria', 'country_id' => '155', 'country_code' => 'ng', 'slug' => 'nigeria', 'global_location_id' => '158', 'rel_gloc_ids' => '158,995,996,997,1095', 'currency' => 'NGN', 'currency_name' => 'Nigerian Naira', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Africa/Lagos ', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'newzealand' => array( 'name' => 'New Zealand', 'country_id' => '162', 'country_code' => 'nz', 'slug' => 'newzealand', 'global_location_id' => '155', 'rel_gloc_ids' => '155,998,999,1080,1081,1082,1083', 'currency' => 'NZD', 'currency_name' => 'New Zealand Dollar', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Pacific/Auckland', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'brasil' => array( 'name' => 'Brasil', 'country_id' => '29', 'country_code' => 'br', 'slug' => 'brasil', 'global_location_id' => '30', 'rel_gloc_ids' => '30,1000,1001,1002,1003,1004,1005,1006,1007,1008,1009,1010,1011,1012,1013', 'currency' => 'BRL', 'currency_name' => 'Brazilian Real', 'languages' => 'pt', 'default_language' => 'pt', 'country_time_zone' => 'America/Sao_Paulo', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'portugal' => array( 'name' => 'Portugal', 'country_id' => '175', 'country_code' => 'pt', 'slug' => 'portugal', 'global_location_id' => '174', 'rel_gloc_ids' => '174,1014,1015,1087,1088,1089,1090', 'currency' => 'EUR', 'currency_name' => 'Euro', 'languages' => 'pt', 'default_language' => 'pt', 'country_time_zone' => 'Europe/Lisbon', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'canada' => array( 'name' => 'Canada', 'country_id' => '36', 'country_code' => 'ca', 'slug' => 'canada', 'global_location_id' => '38', 'rel_gloc_ids' => '38,1019,1020,1021,1022,1023,1024,1025', 'currency' => 'CAD', 'currency_name' => 'Canadian Dollar', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Canada/Saskatchewan', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'united-states' => array( 'name' => 'United States', 'country_id' => '221', 'country_code' => 'us', 'slug' => 'united-states', 'global_location_id' => '227', 'rel_gloc_ids' => '227,1314,1315,1316,1317,1318,1319,1320,1321,1322,1323,1324,1325,1326', 'currency' => 'USD', 'currency_name' => 'US Dollar', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'America/New_York', 'job_location' => '1', 'published' => '1', 'show' => '1' ), 'angola' => array( 'name' => 'Angola', 'country_id' => '9', 'country_code' => 'ao', 'slug' => 'angola', 'global_location_id' => '6', 'rel_gloc_ids' => '6,1016,1091,1092,1093,1094', 'currency' => 'AOA', 'currency_name' => 'Angolan Kwanza', 'languages' => 'pt', 'default_language' => 'pt', 'country_time_zone' => 'Africa/Luanda', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'australia' => array( 'name' => 'Australia', 'country_id' => '14', 'country_code' => 'au', 'slug' => 'australia', 'global_location_id' => '13', 'rel_gloc_ids' => '13,1026,1027,1028,1029,1030', 'currency' => 'AUD', 'currency_name' => 'Australian Dollar', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Australia/Melbourne', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'kenya' => array( 'name' => 'Kenya', 'country_id' => '108', 'country_code' => 'ke', 'slug' => 'kenya', 'global_location_id' => '112', 'rel_gloc_ids' => '112,1031,1032,1075,1076,1077,1078,1079', 'currency' => 'KES', 'currency_name' => 'Kenyan Shilling', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Africa/Nairobi', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'ghana' => array( 'name' => 'Ghana', 'country_id' => '78', 'country_code' => 'gh', 'slug' => 'ghana', 'global_location_id' => '83', 'rel_gloc_ids' => '83,1033,1034,1072,1073,1074', 'currency' => 'GHS', 'currency_name' => 'Ghanaian Cedi', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Africa/Accra', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'ireland' => array( 'name' => 'Ireland', 'country_id' => '98', 'country_code' => 'ie', 'slug' => 'ireland', 'global_location_id' => '104', 'rel_gloc_ids' => '104,104,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416', 'currency' => 'EUR', 'currency_name' => 'Euro', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Europe/Dublin', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'vietnam' => array( 'name' => 'Vietnam', 'country_id' => '229', 'country_code' => 'vn', 'slug' => 'vietnam', 'global_location_id' => '234', 'rel_gloc_ids' => '234,1170,1171', 'currency' => 'VND', 'currency_name' => 'Vietnamese Dong', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Asia/Ho_Chi_Minh', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'cyprus' => array( 'name' => 'Cyprus', 'country_id' => '51', 'country_code' => 'cy', 'slug' => 'cyprus', 'global_location_id' => '55', 'rel_gloc_ids' => '55,1230,1231,1232,1233', 'currency' => 'EUR', 'currency_name' => 'Euro', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Europe/Nicosia', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'malta' => array( 'name' => 'Malta', 'country_id' => '144', 'country_code' => 'mt', 'slug' => 'malta', 'global_location_id' => '134', 'rel_gloc_ids' => '134,1255,1254,1253,1252,1251,1250,1249,1248', 'currency' => 'EUR', 'currency_name' => 'Euro', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Europe/Malta', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'maldives' => array( 'name' => 'Maldives', 'country_id' => '146', 'country_code' => 'mv', 'slug' => 'maldives', 'global_location_id' => '132', 'rel_gloc_ids' => '132,1172', 'currency' => 'MVR', 'currency_name' => 'Maldivian rufiyaa', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Indian/Maldives', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'turkey' => array( 'name' => 'Turkey', 'country_id' => '213', 'country_code' => 'tr', 'slug' => 'turkey', 'global_location_id' => '219', 'rel_gloc_ids' => '219,1173,1174,1175,1176', 'currency' => 'TRY', 'currency_name' => 'Turkish lira', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Europe/Istanbul', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'thailand' => array( 'name' => 'Thailand', 'country_id' => '206', 'country_code' => 'th', 'slug' => 'thailand', 'global_location_id' => '213', 'rel_gloc_ids' => '213,1177', 'currency' => 'THB', 'currency_name' => 'Baht', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Asia/Bangkok', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'hong-kong' => array( 'name' => 'Hong Kong', 'country_id' => '91', 'country_code' => 'hk', 'slug' => 'hong-kong', 'global_location_id' => '97', 'rel_gloc_ids' => '97', 'currency' => 'HKD', 'currency_name' => 'Hong Kong dollar', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Asia/Hong_Kong', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'germany' => array( 'name' => 'Germany', 'country_id' => '53', 'country_code' => 'de', 'slug' => 'germany', 'global_location_id' => '82', 'rel_gloc_ids' => '82,1178,1179,1180,1181,1182,1183,1184,1185,1186,1187', 'currency' => 'EUR', 'currency_name' => 'Euro', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Europe/Berlin', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'netherlands' => array( 'name' => 'Netherlands', 'country_id' => '157', 'country_code' => 'nl', 'slug' => 'netherlands', 'global_location_id' => '152', 'rel_gloc_ids' => '152,1188,1189,1190,1191,1192,1193', 'currency' => 'EUR', 'currency_name' => 'Euro', 'languages' => 'en', 'default_language' => 'en', 'country_time_zone' => 'Europe/Amsterdam', 'job_location' => '0', 'published' => '1', 'show' => '1' ), 'japan' => array( 'name' => 'Japan', 'country_id' => '107', 'country_code' => 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This is a full-time permanent position, working 37.5 hours per week with opportunities for a hybrid work schedule.Primary Responsibilities:Conduct usage analysis on experiment and non-experiment data to understand customer behaviorAnalyze and understand why customers take certain actionsDevelop plans to track website usage and to improve event reportingImprove and maintain automated reportsCommunicate data analysis results and recommendationsCreate new projects based on experiment resultsCollaborate with analysts, software developers, and key stakeholders Deliver data-based recommendations and identify next stepsDiscover data trends and findings across different projects & experimentsBuild attribution models for website event trackingCreate reports and data visualizations to increase the quality of analysis being deliveredCollaboratively identify relevant KPIs for individual projects, and engagement metrics (usage, renewals, etc.) and how they should be measuredHelp Senior Data Analysts with planning future phases for various projectsCreate quarterly/annual reports and presentationsKnowledge and Skill Requirements:Post-secondary education in Business, Finance, Economics, Mathematics, Computing Science, or other Analysis related programsExperience conducting analysis on large datasets High level of proficiency with SQL coding, creating reports, and running queries Knowledge in data analysis and visualizations tools (like Python, R, D3.js, Matplotlib, etc.)Proficiency using Microsoft Excel (Pivot Tables, Visualizations, Formulas) and Project Management softwareKnowledge of data mining and segmentation techniques Ability to work independently and manage complex projects Experience with statistical analysis Ability to summarize complicated analysis and make it easy to understandStrong interest in data analysis and developing creative solutions to problems Understanding of relational database structures and principles Why You Should Join the LawDepot 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This is a full-time permanent position, working 37.5 hours per week with opportunities for a hybrid work schedule.Primary Responsibilities:Conduct usage analysis on experiment and non-experiment data to understand customer behaviorAnalyze and understand why customers take certain actionsDevelop plans to track website usage and to improve event reportingImprove and maintain automated reportsCommunicate data analysis results and recommendationsCreate new projects based on experiment resultsCollaborate with analysts, software developers, and key stakeholders Deliver data-based recommendations and identify next stepsDiscover data trends and findings across different projects & experimentsBuild attribution models for website event trackingCreate reports and data visualizations to increase the quality of analysis being deliveredCollaboratively identify relevant KPIs for individual projects, and engagement metrics (usage, renewals, etc.) and how they should be measuredHelp Senior Data Analysts with planning future phases for various projectsCreate quarterly/annual reports and presentationsKnowledge and Skill Requirements:Post-secondary education in Business, Finance, Economics, Mathematics, Computing Science, or other Analysis related programsExperience conducting analysis on large datasets High level of proficiency with SQL coding, creating reports, and running queries Knowledge in data analysis and visualizations tools (like Python, R, D3.js, Matplotlib, etc.)Proficiency using Microsoft Excel (Pivot Tables, Visualizations, Formulas) and Project Management softwareKnowledge of data mining and segmentation techniques Ability to work independently and manage complex projects Experience with statistical analysis Ability to summarize complicated analysis and make it easy to understandStrong interest in data analysis and developing creative solutions to problems Understanding of relational database structures and principles Why You Should Join the LawDepot 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الشركة المعلنة عن الوظيفة
LawDepot
-
55 درهم
612 درهممدة الدورة التدريبية: Upto 1 Hour -
Professional Business Analysis Alpha Academy110 درهم
2,204 درهممدة الدورة التدريبية: Upto 10 Hours
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